Overview

Dataset statistics

Number of variables123
Number of observations379
Missing cells765
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory667.2 KiB
Average record size in memory1.8 KiB

Variable types

Unsupported1
Numeric14
Boolean98
Categorical10

Alerts

Trastorno de personalidad has constant value ""Constant
Enfermedad de Huntington has constant value ""Constant
Zurdo has constant value ""Constant
Lugar de nacimiento has a high cardinality: 105 distinct valuesHigh cardinality
Edad is highly overall correlated with Trastorno del neurodesarrolloHigh correlation
Escolaridad is highly overall correlated with Trastorno del neurodesarrolloHigh correlation
Número de hijos is highly overall correlated with Número de nietosHigh correlation
Número de nietos is highly overall correlated with Número de hijosHigh correlation
Hace cuanto dejo de fumar is highly overall correlated with ExtabaquismoHigh correlation
Barthel is highly overall correlated with Enf tiroidea afHigh correlation
MMSE is highly overall correlated with PSA and 7 other fieldsHigh correlation
Saturacion de O2 is highly overall correlated with Degeneracion lobar frontotemporalHigh correlation
Frecuencia respiratoria is highly overall correlated with Degeneracion lobar frontotemporal and 2 other fieldsHigh correlation
Presión arterial sistólica is highly overall correlated with Presión arterial diastólicaHigh correlation
Presión arterial diastólica is highly overall correlated with Presión arterial sistólicaHigh correlation
Hombre is highly overall correlated with OcupaciónHigh correlation
Ocupación is highly overall correlated with Hombre and 1 other fieldsHigh correlation
Ciudad de residencia is highly overall correlated with Dislipidemia afHigh correlation
Dislipidemia af is highly overall correlated with Ciudad de residenciaHigh correlation
Trastornos psiquiatricos is highly overall correlated with DepresionHigh correlation
Depresion is highly overall correlated with Trastornos psiquiatricosHigh correlation
Enf. neurodegenerativas is highly overall correlated with Enfermedad de AlzheimerHigh correlation
Enfermedad de Alzheimer is highly overall correlated with Enf. neurodegenerativasHigh correlation
Degeneracion lobar frontotemporal is highly overall correlated with Saturacion de O2 and 1 other fieldsHigh correlation
Enf tiroidea af is highly overall correlated with BarthelHigh correlation
Trastorno del neurodesarrollo is highly overall correlated with Edad and 3 other fieldsHigh correlation
Extabaquismo is highly overall correlated with Hace cuanto dejo de fumarHigh correlation
PSA is highly overall correlated with MMSE and 8 other fieldsHigh correlation
Alteracion en orientacion tiempo is highly overall correlated with MMSE and 2 other fieldsHigh correlation
Alteracion en orientacion espacio is highly overall correlated with MMSE and 4 other fieldsHigh correlation
Alteracion en memoria is highly overall correlated with MMSE and 4 other fieldsHigh correlation
Alteracion en atencion y calculo is highly overall correlated with MMSE and 1 other fieldsHigh correlation
Alteracion en evocacion is highly overall correlated with PSAHigh correlation
Alteracion en lenguaje is highly overall correlated with MMSE and 3 other fieldsHigh correlation
Alteracion en habilidades visuoespaciales is highly overall correlated with MMSE and 4 other fieldsHigh correlation
Moviliza 4 extremidades is highly overall correlated with BipedestacionHigh correlation
Bipedestacion is highly overall correlated with Moviliza 4 extremidades and 2 other fieldsHigh correlation
Apoyo en talones is highly overall correlated with Bipedestacion and 1 other fieldsHigh correlation
Apoyo en puntas is highly overall correlated with Bipedestacion and 1 other fieldsHigh correlation
Pinza is highly overall correlated with Oposicion de pulgarHigh correlation
Oposicion de pulgar is highly overall correlated with PinzaHigh correlation
Euforia/Júbilo is highly overall correlated with DesinhibiciónHigh correlation
Desinhibición is highly overall correlated with Euforia/JúbiloHigh correlation
Estado cognitivo is highly overall correlated with MMSEHigh correlation
Vive solo is highly imbalanced (54.8%)Imbalance
Ciudad de residencia is highly imbalanced (72.7%)Imbalance
Cuidador No Solaz is highly imbalanced (59.2%)Imbalance
Cuidador Solaz is highly imbalanced (78.4%)Imbalance
HTA af is highly imbalanced (83.8%)Imbalance
Dislipidemia is highly imbalanced (54.7%)Imbalance
Dislipidemia af is highly imbalanced (95.2%)Imbalance
Diabetes af is highly imbalanced (53.9%)Imbalance
Ansiedad is highly imbalanced (68.0%)Imbalance
Trastorno afectivo bipolar is highly imbalanced (95.2%)Imbalance
Otro trastorno psiquiatrico o alteracion mental is highly imbalanced (77.2%)Imbalance
Degeneracion lobar frontotemporal is highly imbalanced (95.2%)Imbalance
Deterioro cognitivo vascular is highly imbalanced (88.3%)Imbalance
Enfermedad de Parkinson is highly imbalanced (78.4%)Imbalance
Demencia por cuerpos de Lewy is highly imbalanced (89.9%)Imbalance
Familiares paternos demencia is highly imbalanced (72.4%)Imbalance
Enf renal is highly imbalanced (69.1%)Imbalance
Enf renal af is highly imbalanced (89.9%)Imbalance
Arritmia is highly imbalanced (70.2%)Imbalance
Marcapasos is highly imbalanced (71.3%)Imbalance
Paciente anticoagulado is highly imbalanced (68.0%)Imbalance
Enf respiratoria af is highly imbalanced (53.0%)Imbalance
Enf hepática is highly imbalanced (95.2%)Imbalance
Enf hepática af is highly imbalanced (77.2%)Imbalance
Enf tiroidea af is highly imbalanced (88.3%)Imbalance
Enf cerebro vascular af is highly imbalanced (54.7%)Imbalance
Enf transmisión sexual is highly imbalanced (93.3%)Imbalance
Migraña is highly imbalanced (95.2%)Imbalance
Epilepsia is highly imbalanced (83.8%)Imbalance
Epilepsia af is highly imbalanced (89.9%)Imbalance
Trastorno del neurodesarrollo is highly imbalanced (93.3%)Imbalance
TEC is highly imbalanced (77.2%)Imbalance
Covid is highly imbalanced (58.2%)Imbalance
Tabaquismo activo is highly imbalanced (85.2%)Imbalance
Alcoholismo o abuso de licor is highly imbalanced (76.0%)Imbalance
PSA is highly imbalanced (97.4%)Imbalance
Grupo sanguineo is highly imbalanced (52.8%)Imbalance
Tos is highly imbalanced (64.9%)Imbalance
Reflejo pupilar is highly imbalanced (57.2%)Imbalance
Movimiento ocular is highly imbalanced (86.7%)Imbalance
Rostro simetrico is highly imbalanced (72.4%)Imbalance
Moviliza 4 extremidades is highly imbalanced (83.7%)Imbalance
Babinski is highly imbalanced (93.3%)Imbalance
Romberg is highly imbalanced (71.1%)Imbalance
Prension palmar is highly imbalanced (88.2%)Imbalance
Diadococinesia is highly imbalanced (67.6%)Imbalance
Metria is highly imbalanced (74.4%)Imbalance
Pinza is highly imbalanced (75.6%)Imbalance
Oposicion de pulgar is highly imbalanced (65.6%)Imbalance
Edema en los pies is highly imbalanced (55.5%)Imbalance
Delirios is highly imbalanced (85.2%)Imbalance
Alucinaciones is highly imbalanced (81.1%)Imbalance
Sintomas de ansiedad is highly imbalanced (60.1%)Imbalance
Euforia/Júbilo is highly imbalanced (79.7%)Imbalance
Apatía/Indiferencia is highly imbalanced (59.2%)Imbalance
Desinhibición is highly imbalanced (67.0%)Imbalance
Sueño/Trastornos del sueño is highly imbalanced (52.2%)Imbalance
Inquietud motora is highly imbalanced (73.6%)Imbalance
Ocupación has 6 (1.6%) missing valuesMissing
Vive solo has 10 (2.6%) missing valuesMissing
Número de hijos has 7 (1.8%) missing valuesMissing
Número de nietos has 10 (2.6%) missing valuesMissing
Numero de bisnietos has 11 (2.9%) missing valuesMissing
Numero de medicamentos has 35 (9.2%) missing valuesMissing
Hace cuanto dejo de fumar has 71 (18.7%) missing valuesMissing
Barthel has 108 (28.5%) missing valuesMissing
Alteracion en orientacion tiempo has 6 (1.6%) missing valuesMissing
Alteracion en orientacion espacio has 7 (1.8%) missing valuesMissing
Alteracion en memoria has 15 (4.0%) missing valuesMissing
Alteracion en atencion y calculo has 15 (4.0%) missing valuesMissing
Alteracion en evocacion has 15 (4.0%) missing valuesMissing
Alteracion en lenguaje has 10 (2.6%) missing valuesMissing
Alteracion en habilidades visuoespaciales has 15 (4.0%) missing valuesMissing
MMSE has 41 (10.8%) missing valuesMissing
Saturacion de O2 has 45 (11.9%) missing valuesMissing
Frecuencia respiratoria has 167 (44.1%) missing valuesMissing
Presión arterial sistólica has 26 (6.9%) missing valuesMissing
Presión arterial diastólica has 27 (7.1%) missing valuesMissing
Frecuencia cardiaca has 30 (7.9%) missing valuesMissing
Fuerza has 4 (1.1%) missing valuesMissing
Bipedestacion has 6 (1.6%) missing valuesMissing
Apoyo en talones has 7 (1.8%) missing valuesMissing
Apoyo en puntas has 7 (1.8%) missing valuesMissing
Diadococinesia has 7 (1.8%) missing valuesMissing
Metria has 8 (2.1%) missing valuesMissing
Pinza has 7 (1.8%) missing valuesMissing
Oposicion de pulgar has 6 (1.6%) missing valuesMissing
Fecha de evaluacion is an unsupported type, check if it needs cleaning or further analysisUnsupported
Número de hijos has 30 (7.9%) zerosZeros
Número de nietos has 99 (26.1%) zerosZeros
Numero de bisnietos has 317 (83.6%) zerosZeros
Numero de medicamentos has 19 (5.0%) zerosZeros
Hace cuanto dejo de fumar has 5 (1.3%) zerosZeros
MMSE has 25 (6.6%) zerosZeros

Reproduction

Analysis started2024-10-03 00:57:43.285243
Analysis finished2024-10-03 00:59:06.103180
Duration1 minute and 22.82 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

Fecha de evaluacion
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size23.7 KiB

Edad
Real number (ℝ)

Distinct52
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.659631
Minimum10
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:06.231082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile61.9
Q173
median79
Q384
95-th percentile91
Maximum104
Range94
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.895498
Coefficient of variation (CV)0.1402981
Kurtosis8.0869904
Mean77.659631
Median Absolute Deviation (MAD)6
Skewness-2.052109
Sum29433
Variance118.71188
MonotonicityNot monotonic
2024-10-02T19:59:06.426709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84 22
 
5.8%
82 21
 
5.5%
80 19
 
5.0%
78 18
 
4.7%
81 18
 
4.7%
71 18
 
4.7%
77 18
 
4.7%
79 17
 
4.5%
75 17
 
4.5%
73 16
 
4.2%
Other values (42) 195
51.5%
ValueCountFrequency (%)
10 1
0.3%
27 1
0.3%
29 2
0.5%
32 1
0.3%
34 1
0.3%
35 1
0.3%
43 1
0.3%
46 1
0.3%
49 1
0.3%
50 1
0.3%
ValueCountFrequency (%)
104 1
 
0.3%
97 1
 
0.3%
95 5
1.3%
94 2
 
0.5%
93 5
1.3%
92 3
 
0.8%
91 7
1.8%
90 8
2.1%
89 8
2.1%
88 8
2.1%

Hombre
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
248 
True
131 
ValueCountFrequency (%)
False 248
65.4%
True 131
34.6%
2024-10-02T19:59:06.599529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Escolaridad
Real number (ℝ)

Distinct10
Distinct (%)2.7%
Missing3
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean5.5744681
Minimum0
Maximum9
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:06.726010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median5
Q38
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1810792
Coefficient of variation (CV)0.3912623
Kurtosis-1.0834483
Mean5.5744681
Median Absolute Deviation (MAD)2
Skewness0.0088653999
Sum2096
Variance4.7571064
MonotonicityNot monotonic
2024-10-02T19:59:06.844542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8 90
23.7%
5 85
22.4%
4 61
16.1%
3 36
 
9.5%
6 33
 
8.7%
9 32
 
8.4%
2 27
 
7.1%
7 8
 
2.1%
1 3
 
0.8%
0 1
 
0.3%
(Missing) 3
 
0.8%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
0.8%
2 27
 
7.1%
3 36
 
9.5%
4 61
16.1%
5 85
22.4%
6 33
 
8.7%
7 8
 
2.1%
8 90
23.7%
9 32
 
8.4%
ValueCountFrequency (%)
9 32
 
8.4%
8 90
23.7%
7 8
 
2.1%
6 33
 
8.7%
5 85
22.4%
4 61
16.1%
3 36
 
9.5%
2 27
 
7.1%
1 3
 
0.8%
0 1
 
0.3%

Ocupación
Categorical

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)2.7%
Missing6
Missing (%)1.6%
Memory size27.3 KiB
Ama de casa
120 
Servicios
116 
Industria
64 
Comercio
42 
 
11
Other values (5)
20 

Length

Max length14
Median length13
Mean length9.4182306
Min length0

Characters and Unicode

Total characters3513
Distinct characters26
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row
2nd rowComercio
3rd rowIndustria
4th rowComercio
5th rowComercio

Common Values

ValueCountFrequency (%)
Ama de casa 120
31.7%
Servicios 116
30.6%
Industria 64
16.9%
Comercio 42
 
11.1%
11
 
2.9%
Transporte 7
 
1.8%
Pensionado(a) 4
 
1.1%
Construccion 4
 
1.1%
FFAA o policia 4
 
1.1%
Desempleado 1
 
0.3%
(Missing) 6
 
1.6%

Length

2024-10-02T19:59:06.996345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-02T19:59:07.207474image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
ama 120
19.7%
de 120
19.7%
casa 120
19.7%
servicios 116
19.0%
industria 64
10.5%
comercio 42
 
6.9%
transporte 7
 
1.1%
pensionado(a 4
 
0.7%
construccion 4
 
0.7%
ffaa 4
 
0.7%
Other values (3) 9
 
1.5%

Most occurring characters

ValueCountFrequency (%)
a 444
12.6%
i 354
10.1%
s 316
9.0%
e 292
 
8.3%
c 290
 
8.3%
248
 
7.1%
r 240
 
6.8%
o 232
 
6.6%
d 189
 
5.4%
m 163
 
4.6%
Other values (16) 745
21.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2883
82.1%
Uppercase Letter 374
 
10.6%
Space Separator 248
 
7.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 444
15.4%
i 354
12.3%
s 316
11.0%
e 292
10.1%
c 290
10.1%
r 240
8.3%
o 232
8.0%
d 189
6.6%
m 163
 
5.7%
v 116
 
4.0%
Other values (5) 247
8.6%
Uppercase Letter
ValueCountFrequency (%)
A 128
34.2%
S 116
31.0%
I 64
17.1%
C 46
 
12.3%
F 8
 
2.1%
T 7
 
1.9%
P 4
 
1.1%
D 1
 
0.3%
Space Separator
ValueCountFrequency (%)
248
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3257
92.7%
Common 256
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 444
13.6%
i 354
10.9%
s 316
9.7%
e 292
9.0%
c 290
8.9%
r 240
 
7.4%
o 232
 
7.1%
d 189
 
5.8%
m 163
 
5.0%
A 128
 
3.9%
Other values (13) 609
18.7%
Common
ValueCountFrequency (%)
248
96.9%
( 4
 
1.6%
) 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3513
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 444
12.6%
i 354
10.1%
s 316
9.0%
e 292
 
8.3%
c 290
 
8.3%
248
 
7.1%
r 240
 
6.8%
o 232
 
6.6%
d 189
 
5.4%
m 163
 
4.6%
Other values (16) 745
21.2%

Estado civil
Categorical

Distinct7
Distinct (%)1.9%
Missing3
Missing (%)0.8%
Memory size26.2 KiB
Casado
161 
Viudo
148 
Soltero
29 
Divorciado
20 
Separado
 
14
Other values (2)
 
4

Length

Max length11
Median length10
Mean length5.9946809
Min length0

Characters and Unicode

Total characters2254
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowSoltero
2nd rowCasado
3rd rowCasado
4th rowSoltero
5th rowDivorciado

Common Values

ValueCountFrequency (%)
Casado 161
42.5%
Viudo 148
39.1%
Soltero 29
 
7.7%
Divorciado 20
 
5.3%
Separado 14
 
3.7%
Union libre 3
 
0.8%
1
 
0.3%
(Missing) 3
 
0.8%

Length

2024-10-02T19:59:07.509043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-02T19:59:07.801988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
casado 161
42.6%
viudo 148
39.2%
soltero 29
 
7.7%
divorciado 20
 
5.3%
separado 14
 
3.7%
union 3
 
0.8%
libre 3
 
0.8%

Most occurring characters

ValueCountFrequency (%)
o 424
18.8%
a 370
16.4%
d 343
15.2%
i 194
8.6%
C 161
 
7.1%
s 161
 
7.1%
V 148
 
6.6%
u 148
 
6.6%
r 66
 
2.9%
e 46
 
2.0%
Other values (11) 193
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1876
83.2%
Uppercase Letter 375
 
16.6%
Space Separator 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 424
22.6%
a 370
19.7%
d 343
18.3%
i 194
10.3%
s 161
 
8.6%
u 148
 
7.9%
r 66
 
3.5%
e 46
 
2.5%
l 32
 
1.7%
t 29
 
1.5%
Other values (5) 63
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
C 161
42.9%
V 148
39.5%
S 43
 
11.5%
D 20
 
5.3%
U 3
 
0.8%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2251
99.9%
Common 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 424
18.8%
a 370
16.4%
d 343
15.2%
i 194
8.6%
C 161
 
7.2%
s 161
 
7.2%
V 148
 
6.6%
u 148
 
6.6%
r 66
 
2.9%
e 46
 
2.0%
Other values (10) 190
8.4%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 424
18.8%
a 370
16.4%
d 343
15.2%
i 194
8.6%
C 161
 
7.1%
s 161
 
7.1%
V 148
 
6.6%
u 148
 
6.6%
r 66
 
2.9%
e 46
 
2.0%
Other values (11) 193
8.6%

Vive solo
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.5%
Missing10
Missing (%)2.6%
Memory size16.2 KiB
False
334 
True
35 
(Missing)
 
10
ValueCountFrequency (%)
False 334
88.1%
True 35
 
9.2%
(Missing) 10
 
2.6%
2024-10-02T19:59:08.106300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Número de hijos
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct14
Distinct (%)3.8%
Missing7
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean3.0752688
Minimum0
Maximum14
Zeros30
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:08.296134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile7
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0662168
Coefficient of variation (CV)0.67188169
Kurtosis3.3735582
Mean3.0752688
Median Absolute Deviation (MAD)1
Skewness1.3253748
Sum1144
Variance4.2692519
MonotonicityNot monotonic
2024-10-02T19:59:08.457962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 102
26.9%
3 84
22.2%
4 52
13.7%
1 34
 
9.0%
0 30
 
7.9%
5 30
 
7.9%
6 17
 
4.5%
7 9
 
2.4%
8 6
 
1.6%
9 4
 
1.1%
Other values (4) 4
 
1.1%
(Missing) 7
 
1.8%
ValueCountFrequency (%)
0 30
 
7.9%
1 34
 
9.0%
2 102
26.9%
3 84
22.2%
4 52
13.7%
5 30
 
7.9%
6 17
 
4.5%
7 9
 
2.4%
8 6
 
1.6%
9 4
 
1.1%
ValueCountFrequency (%)
14 1
 
0.3%
12 1
 
0.3%
11 1
 
0.3%
10 1
 
0.3%
9 4
 
1.1%
8 6
 
1.6%
7 9
 
2.4%
6 17
 
4.5%
5 30
7.9%
4 52
13.7%

Número de nietos
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct22
Distinct (%)6.0%
Missing10
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean4.0569106
Minimum0
Maximum50
Zeros99
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:08.606148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile12
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.9737913
Coefficient of variation (CV)1.2260047
Kurtosis22.808037
Mean4.0569106
Median Absolute Deviation (MAD)3
Skewness3.4716246
Sum1497
Variance24.7386
MonotonicityNot monotonic
2024-10-02T19:59:08.754959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 99
26.1%
2 44
11.6%
4 40
10.6%
3 39
 
10.3%
5 33
 
8.7%
1 24
 
6.3%
7 15
 
4.0%
6 13
 
3.4%
8 13
 
3.4%
12 11
 
2.9%
Other values (12) 38
 
10.0%
(Missing) 10
 
2.6%
ValueCountFrequency (%)
0 99
26.1%
1 24
 
6.3%
2 44
11.6%
3 39
 
10.3%
4 40
10.6%
5 33
 
8.7%
6 13
 
3.4%
7 15
 
4.0%
8 13
 
3.4%
9 9
 
2.4%
ValueCountFrequency (%)
50 1
 
0.3%
32 1
 
0.3%
26 1
 
0.3%
20 3
 
0.8%
18 1
 
0.3%
17 1
 
0.3%
15 2
 
0.5%
14 1
 
0.3%
13 3
 
0.8%
12 11
2.9%

Numero de bisnietos
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)3.3%
Missing11
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean0.43206522
Minimum0
Maximum21
Zeros317
Zeros (%)83.6%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:08.910157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6591761
Coefficient of variation (CV)3.8401058
Kurtosis70.988065
Mean0.43206522
Median Absolute Deviation (MAD)0
Skewness7.162949
Sum159
Variance2.7528655
MonotonicityNot monotonic
2024-10-02T19:59:09.030497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 317
83.6%
1 22
 
5.8%
2 8
 
2.1%
3 6
 
1.6%
5 4
 
1.1%
4 4
 
1.1%
6 2
 
0.5%
10 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
Other values (2) 2
 
0.5%
(Missing) 11
 
2.9%
ValueCountFrequency (%)
0 317
83.6%
1 22
 
5.8%
2 8
 
2.1%
3 6
 
1.6%
4 4
 
1.1%
5 4
 
1.1%
6 2
 
0.5%
7 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
21 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
7 1
 
0.3%
6 2
 
0.5%
5 4
1.1%
4 4
1.1%
3 6
1.6%
2 8
2.1%
Distinct105
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size27.8 KiB
Medellin
138 
Caldas
 
12
Bogotá
 
9
Bello
 
9
Santuario
 
8
Other values (100)
203 

Length

Max length21
Median length19
Mean length8.2163588
Min length4

Characters and Unicode

Total characters3114
Distinct characters49
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)12.9%

Sample

1st rowMedellin
2nd rowMedellin
3rd rowChile
4th rowMedellin
5th rowMedellin

Common Values

ValueCountFrequency (%)
Medellin 138
36.4%
Caldas 12
 
3.2%
Bogotá 9
 
2.4%
Bello 9
 
2.4%
Santuario 8
 
2.1%
Rionegro 8
 
2.1%
Amagá 7
 
1.8%
Sonson 6
 
1.6%
Cali 5
 
1.3%
Manizales 5
 
1.3%
Other values (95) 172
45.4%

Length

2024-10-02T19:59:09.196173image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
medellin 138
31.4%
caldas 13
 
3.0%
de 10
 
2.3%
san 9
 
2.1%
bello 9
 
2.1%
bogotá 9
 
2.1%
rionegro 8
 
1.8%
santuario 8
 
1.8%
santa 7
 
1.6%
amagá 7
 
1.6%
Other values (109) 221
50.3%

Most occurring characters

ValueCountFrequency (%)
e 412
13.2%
l 389
12.5%
a 341
11.0%
n 288
9.2%
i 267
 
8.6%
d 206
 
6.6%
o 178
 
5.7%
M 153
 
4.9%
r 137
 
4.4%
s 63
 
2.0%
Other values (39) 680
21.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2631
84.5%
Uppercase Letter 421
 
13.5%
Space Separator 60
 
1.9%
Other Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 412
15.7%
l 389
14.8%
a 341
13.0%
n 288
10.9%
i 267
10.1%
d 206
7.8%
o 178
6.8%
r 137
 
5.2%
s 63
 
2.4%
t 59
 
2.2%
Other values (15) 291
11.1%
Uppercase Letter
ValueCountFrequency (%)
M 153
36.3%
C 55
 
13.1%
S 46
 
10.9%
B 45
 
10.7%
A 24
 
5.7%
R 17
 
4.0%
V 15
 
3.6%
P 14
 
3.3%
G 8
 
1.9%
L 6
 
1.4%
Other values (12) 38
 
9.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3052
98.0%
Common 62
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 412
13.5%
l 389
12.7%
a 341
11.2%
n 288
9.4%
i 267
8.7%
d 206
 
6.7%
o 178
 
5.8%
M 153
 
5.0%
r 137
 
4.5%
s 63
 
2.1%
Other values (37) 618
20.2%
Common
ValueCountFrequency (%)
60
96.8%
, 2
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3084
99.0%
None 30
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 412
13.4%
l 389
12.6%
a 341
11.1%
n 288
9.3%
i 267
8.7%
d 206
 
6.7%
o 178
 
5.8%
M 153
 
5.0%
r 137
 
4.4%
s 63
 
2.0%
Other values (36) 650
21.1%
None
ValueCountFrequency (%)
á 22
73.3%
ñ 6
 
20.0%
é 2
 
6.7%

Ciudad de residencia
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct33
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
Medellin
317 
Envigado
 
9
Bello
 
7
Itagui
 
6
Rionegro
 
4
Other values (28)
36 

Length

Max length20
Median length8
Mean length8.1424802
Min length4

Characters and Unicode

Total characters3086
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)6.1%

Sample

1st rowMedellin
2nd rowMedellin
3rd rowMedellin
4th rowMedellin
5th rowMedellin

Common Values

ValueCountFrequency (%)
Medellin 317
83.6%
Envigado 9
 
2.4%
Bello 7
 
1.8%
Itagui 6
 
1.6%
Rionegro 4
 
1.1%
Sabaneta 4
 
1.1%
Llanogrande 3
 
0.8%
Cundinamarca 2
 
0.5%
Barrancabermeja 2
 
0.5%
Barranquilla 2
 
0.5%
Other values (23) 23
 
6.1%

Length

2024-10-02T19:59:09.366039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
medellin 317
80.3%
envigado 9
 
2.3%
bello 7
 
1.8%
itagui 6
 
1.5%
santa 4
 
1.0%
rionegro 4
 
1.0%
sabaneta 4
 
1.0%
llanogrande 3
 
0.8%
de 3
 
0.8%
rosa 2
 
0.5%
Other values (32) 36
 
9.1%

Most occurring characters

ValueCountFrequency (%)
e 670
21.7%
l 665
21.5%
n 366
11.9%
i 354
11.5%
d 340
11.0%
M 319
10.3%
a 91
 
2.9%
o 47
 
1.5%
r 32
 
1.0%
g 24
 
0.8%
Other values (30) 178
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2674
86.6%
Uppercase Letter 395
 
12.8%
Space Separator 16
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 670
25.1%
l 665
24.9%
n 366
13.7%
i 354
13.2%
d 340
12.7%
a 91
 
3.4%
o 47
 
1.8%
r 32
 
1.2%
g 24
 
0.9%
t 21
 
0.8%
Other values (12) 64
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
M 319
80.8%
E 14
 
3.5%
B 13
 
3.3%
S 11
 
2.8%
R 7
 
1.8%
C 6
 
1.5%
I 6
 
1.5%
U 3
 
0.8%
L 3
 
0.8%
O 3
 
0.8%
Other values (6) 10
 
2.5%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3069
99.4%
Common 17
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 670
21.8%
l 665
21.7%
n 366
11.9%
i 354
11.5%
d 340
11.1%
M 319
10.4%
a 91
 
3.0%
o 47
 
1.5%
r 32
 
1.0%
g 24
 
0.8%
Other values (28) 161
 
5.2%
Common
ValueCountFrequency (%)
16
94.1%
. 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3083
99.9%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 670
21.7%
l 665
21.6%
n 366
11.9%
i 354
11.5%
d 340
11.0%
M 319
10.3%
a 91
 
3.0%
o 47
 
1.5%
r 32
 
1.0%
g 24
 
0.8%
Other values (28) 175
 
5.7%
None
ValueCountFrequency (%)
á 2
66.7%
ñ 1
33.3%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
348 
True
 
31
ValueCountFrequency (%)
False 348
91.8%
True 31
 
8.2%
2024-10-02T19:59:09.546000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
366 
True
 
13
ValueCountFrequency (%)
False 366
96.6%
True 13
 
3.4%
2024-10-02T19:59:09.679652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Numero de medicamentos
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)4.4%
Missing35
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean5.1656977
Minimum0
Maximum14
Zeros19
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:09.796360image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q37
95-th percentile10
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9314596
Coefficient of variation (CV)0.56748571
Kurtosis-0.14283837
Mean5.1656977
Median Absolute Deviation (MAD)2
Skewness0.3178228
Sum1777
Variance8.5934555
MonotonicityNot monotonic
2024-10-02T19:59:09.923222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
6 44
11.6%
7 43
11.3%
3 43
11.3%
5 41
10.8%
4 36
9.5%
2 31
8.2%
8 29
7.7%
0 19
5.0%
1 17
 
4.5%
10 15
 
4.0%
Other values (5) 26
6.9%
(Missing) 35
9.2%
ValueCountFrequency (%)
0 19
5.0%
1 17
 
4.5%
2 31
8.2%
3 43
11.3%
4 36
9.5%
5 41
10.8%
6 44
11.6%
7 43
11.3%
8 29
7.7%
9 14
 
3.7%
ValueCountFrequency (%)
14 3
 
0.8%
13 1
 
0.3%
12 4
 
1.1%
11 4
 
1.1%
10 15
 
4.0%
9 14
 
3.7%
8 29
7.7%
7 43
11.3%
6 44
11.6%
5 41
10.8%

HTA
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
213 
True
166 
ValueCountFrequency (%)
False 213
56.2%
True 166
43.8%
2024-10-02T19:59:10.079270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

HTA af
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
370 
True
 
9
ValueCountFrequency (%)
False 370
97.6%
True 9
 
2.4%
2024-10-02T19:59:10.212119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
343 
True
36 
ValueCountFrequency (%)
False 343
90.5%
True 36
 
9.5%
2024-10-02T19:59:10.348824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Dislipidemia af
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
377 
True
 
2
ValueCountFrequency (%)
False 377
99.5%
True 2
 
0.5%
2024-10-02T19:59:10.479846image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Diabetes
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
318 
True
61 
ValueCountFrequency (%)
False 318
83.9%
True 61
 
16.1%
2024-10-02T19:59:10.617121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
342 
True
37 
ValueCountFrequency (%)
False 342
90.2%
True 37
 
9.8%
2024-10-02T19:59:10.749616image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
207 
True
172 
ValueCountFrequency (%)
False 207
54.6%
True 172
45.4%
2024-10-02T19:59:10.861098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
322 
True
57 
ValueCountFrequency (%)
False 322
85.0%
True 57
 
15.0%
2024-10-02T19:59:10.970938image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
298 
True
81 
ValueCountFrequency (%)
False 298
78.6%
True 81
 
21.4%
2024-10-02T19:59:11.096530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Depresion
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
317 
True
62 
ValueCountFrequency (%)
False 317
83.6%
True 62
 
16.4%
2024-10-02T19:59:11.206195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Ansiedad
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
357 
True
 
22
ValueCountFrequency (%)
False 357
94.2%
True 22
 
5.8%
2024-10-02T19:59:11.312743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
377 
True
 
2
ValueCountFrequency (%)
False 377
99.5%
True 2
 
0.5%
2024-10-02T19:59:11.414576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
379 
ValueCountFrequency (%)
False 379
100.0%
2024-10-02T19:59:11.528616image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
365 
True
 
14
ValueCountFrequency (%)
False 365
96.3%
True 14
 
3.7%
2024-10-02T19:59:11.645911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
331 
True
48 
ValueCountFrequency (%)
False 331
87.3%
True 48
 
12.7%
2024-10-02T19:59:11.777778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
291 
True
88 
ValueCountFrequency (%)
False 291
76.8%
True 88
 
23.2%
2024-10-02T19:59:11.916082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
319 
True
60 
ValueCountFrequency (%)
False 319
84.2%
True 60
 
15.8%
2024-10-02T19:59:12.051096image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Degeneracion lobar frontotemporal
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
377 
True
 
2
ValueCountFrequency (%)
False 377
99.5%
True 2
 
0.5%
2024-10-02T19:59:12.176152image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
373 
True
 
6
ValueCountFrequency (%)
False 373
98.4%
True 6
 
1.6%
2024-10-02T19:59:12.311041image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
366 
True
 
13
ValueCountFrequency (%)
False 366
96.6%
True 13
 
3.4%
2024-10-02T19:59:12.439354image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
374 
True
 
5
ValueCountFrequency (%)
False 374
98.7%
True 5
 
1.3%
2024-10-02T19:59:12.575212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
379 
ValueCountFrequency (%)
False 379
100.0%
2024-10-02T19:59:12.700280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
280 
True
99 
ValueCountFrequency (%)
False 280
73.9%
True 99
 
26.1%
2024-10-02T19:59:12.806104image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.3%
Memory size16.3 KiB
False
360 
True
 
18
(Missing)
 
1
ValueCountFrequency (%)
False 360
95.0%
True 18
 
4.7%
(Missing) 1
 
0.3%
2024-10-02T19:59:12.916461image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.3%
Memory size16.3 KiB
False
314 
True
64 
(Missing)
 
1
ValueCountFrequency (%)
False 314
82.8%
True 64
 
16.9%
(Missing) 1
 
0.3%
2024-10-02T19:59:13.038993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
326 
True
53 
ValueCountFrequency (%)
False 326
86.0%
True 53
 
14.0%
2024-10-02T19:59:13.169352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Cáncer
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
324 
True
55 
ValueCountFrequency (%)
False 324
85.5%
True 55
 
14.5%
2024-10-02T19:59:13.300495image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
290 
True
89 
ValueCountFrequency (%)
False 290
76.5%
True 89
 
23.5%
2024-10-02T19:59:13.430730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Enf renal
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
358 
True
 
21
ValueCountFrequency (%)
False 358
94.5%
True 21
 
5.5%
2024-10-02T19:59:13.566118image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
374 
True
 
5
ValueCountFrequency (%)
False 374
98.7%
True 5
 
1.3%
2024-10-02T19:59:13.696134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
293 
True
86 
ValueCountFrequency (%)
False 293
77.3%
True 86
 
22.7%
2024-10-02T19:59:13.832076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Arritmia
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
359 
True
 
20
ValueCountFrequency (%)
False 359
94.7%
True 20
 
5.3%
2024-10-02T19:59:13.958794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Marcapasos
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
360 
True
 
19
ValueCountFrequency (%)
False 360
95.0%
True 19
 
5.0%
2024-10-02T19:59:14.094184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
357 
True
 
22
ValueCountFrequency (%)
False 357
94.2%
True 22
 
5.8%
2024-10-02T19:59:14.226220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
280 
True
99 
ValueCountFrequency (%)
False 280
73.9%
True 99
 
26.1%
2024-10-02T19:59:14.355243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
305 
True
74 
ValueCountFrequency (%)
False 305
80.5%
True 74
 
19.5%
2024-10-02T19:59:14.495931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
341 
True
38 
ValueCountFrequency (%)
False 341
90.0%
True 38
 
10.0%
2024-10-02T19:59:14.633562image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
377 
True
 
2
ValueCountFrequency (%)
False 377
99.5%
True 2
 
0.5%
2024-10-02T19:59:14.771394image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
365 
True
 
14
ValueCountFrequency (%)
False 365
96.3%
True 14
 
3.7%
2024-10-02T19:59:14.901465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
270 
True
109 
ValueCountFrequency (%)
False 270
71.2%
True 109
28.8%
2024-10-02T19:59:15.010952image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Enf tiroidea af
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
373 
True
 
6
ValueCountFrequency (%)
False 373
98.4%
True 6
 
1.6%
2024-10-02T19:59:15.124768image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
316 
True
63 
ValueCountFrequency (%)
False 316
83.4%
True 63
 
16.6%
2024-10-02T19:59:15.247424image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
343 
True
36 
ValueCountFrequency (%)
False 343
90.5%
True 36
 
9.5%
2024-10-02T19:59:15.356333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
376 
True
 
3
ValueCountFrequency (%)
False 376
99.2%
True 3
 
0.8%
2024-10-02T19:59:15.459358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Migraña
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
377 
True
 
2
ValueCountFrequency (%)
False 377
99.5%
True 2
 
0.5%
2024-10-02T19:59:15.567974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Epilepsia
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
370 
True
 
9
ValueCountFrequency (%)
False 370
97.6%
True 9
 
2.4%
2024-10-02T19:59:15.691061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
374 
True
 
5
ValueCountFrequency (%)
False 374
98.7%
True 5
 
1.3%
2024-10-02T19:59:15.814689image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Trastorno del neurodesarrollo
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
376 
True
 
3
ValueCountFrequency (%)
False 376
99.2%
True 3
 
0.8%
2024-10-02T19:59:15.941091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TEC
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
365 
True
 
14
ValueCountFrequency (%)
False 365
96.3%
True 14
 
3.7%
2024-10-02T19:59:16.071584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Covid
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
347 
True
 
32
ValueCountFrequency (%)
False 347
91.6%
True 32
 
8.4%
2024-10-02T19:59:16.202204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Caídas
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
318 
True
61 
ValueCountFrequency (%)
False 318
83.9%
True 61
 
16.1%
2024-10-02T19:59:16.336584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
371 
True
 
8
ValueCountFrequency (%)
False 371
97.9%
True 8
 
2.1%
2024-10-02T19:59:16.472922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.3%
Memory size16.3 KiB
False
242 
True
136 
(Missing)
 
1
ValueCountFrequency (%)
False 242
63.9%
True 136
35.9%
(Missing) 1
 
0.3%
2024-10-02T19:59:16.603081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Hace cuanto dejo de fumar
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct27
Distinct (%)8.8%
Missing71
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean83.233766
Minimum0
Maximum100
Zeros5
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:16.737995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q1100
median100
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.04878
Coefficient of variation (CV)0.38504542
Kurtosis0.48198651
Mean83.233766
Median Absolute Deviation (MAD)0
Skewness-1.4974171
Sum25636
Variance1027.1243
MonotonicityNot monotonic
2024-10-02T19:59:16.886046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
100 239
63.1%
30 12
 
3.2%
40 7
 
1.8%
15 6
 
1.6%
20 6
 
1.6%
0 5
 
1.3%
60 3
 
0.8%
10 3
 
0.8%
7 2
 
0.5%
34 2
 
0.5%
Other values (17) 23
 
6.1%
(Missing) 71
 
18.7%
ValueCountFrequency (%)
0 5
1.3%
1 1
 
0.3%
2 1
 
0.3%
5 1
 
0.3%
7 2
 
0.5%
8 1
 
0.3%
10 3
0.8%
12 1
 
0.3%
14 2
 
0.5%
15 6
1.6%
ValueCountFrequency (%)
100 239
63.1%
60 3
 
0.8%
50 2
 
0.5%
42 1
 
0.3%
40 7
 
1.8%
39 1
 
0.3%
37 2
 
0.5%
35 2
 
0.5%
34 2
 
0.5%
31 2
 
0.5%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
364 
True
 
15
ValueCountFrequency (%)
False 364
96.0%
True 15
 
4.0%
2024-10-02T19:59:17.038857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
264 
True
115 
ValueCountFrequency (%)
False 264
69.7%
True 115
30.3%
2024-10-02T19:59:17.798500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

PSA
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
378 
True
 
1
ValueCountFrequency (%)
False 378
99.7%
True 1
 
0.3%
2024-10-02T19:59:17.929264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
291 
True
88 
ValueCountFrequency (%)
False 291
76.8%
True 88
 
23.2%
2024-10-02T19:59:18.056202image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Barthel
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)7.7%
Missing108
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean79.02952
Minimum5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:18.164703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile32.5
Q170
median85
Q395
95-th percentile100
Maximum100
Range95
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.296302
Coefficient of variation (CV)0.26947274
Kurtosis1.3797841
Mean79.02952
Median Absolute Deviation (MAD)10
Skewness-1.3814065
Sum21417
Variance453.53246
MonotonicityNot monotonic
2024-10-02T19:59:18.288288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
90 52
13.7%
95 45
11.9%
100 38
 
10.0%
85 27
 
7.1%
80 19
 
5.0%
70 15
 
4.0%
60 13
 
3.4%
75 12
 
3.2%
45 9
 
2.4%
65 8
 
2.1%
Other values (11) 33
 
8.7%
(Missing) 108
28.5%
ValueCountFrequency (%)
5 2
 
0.5%
10 1
 
0.3%
15 2
 
0.5%
20 2
 
0.5%
25 3
 
0.8%
27 1
 
0.3%
30 3
 
0.8%
35 1
 
0.3%
40 6
1.6%
45 9
2.4%
ValueCountFrequency (%)
100 38
10.0%
95 45
11.9%
90 52
13.7%
85 27
7.1%
80 19
 
5.0%
75 12
 
3.2%
70 15
 
4.0%
65 8
 
2.1%
60 13
 
3.4%
55 7
 
1.8%

Alteracion en orientacion tiempo
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.5%
Missing6
Missing (%)1.6%
Memory size16.3 KiB
True
225 
False
148 
(Missing)
 
6
ValueCountFrequency (%)
True 225
59.4%
False 148
39.1%
(Missing) 6
 
1.6%
2024-10-02T19:59:18.432378image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Alteracion en orientacion espacio
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.5%
Missing7
Missing (%)1.8%
Memory size16.3 KiB
False
216 
True
156 
(Missing)
 
7
ValueCountFrequency (%)
False 216
57.0%
True 156
41.2%
(Missing) 7
 
1.8%
2024-10-02T19:59:18.556323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Alteracion en memoria
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.5%
Missing15
Missing (%)4.0%
Memory size16.2 KiB
False
251 
True
113 
(Missing)
 
15
ValueCountFrequency (%)
False 251
66.2%
True 113
29.8%
(Missing) 15
 
4.0%
2024-10-02T19:59:18.699066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Alteracion en atencion y calculo
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.5%
Missing15
Missing (%)4.0%
Memory size16.2 KiB
True
213 
False
151 
(Missing)
 
15
ValueCountFrequency (%)
True 213
56.2%
False 151
39.8%
(Missing) 15
 
4.0%
2024-10-02T19:59:18.818113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Alteracion en evocacion
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.5%
Missing15
Missing (%)4.0%
Memory size16.2 KiB
True
243 
False
121 
(Missing)
 
15
ValueCountFrequency (%)
True 243
64.1%
False 121
31.9%
(Missing) 15
 
4.0%
2024-10-02T19:59:18.954987image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Alteracion en lenguaje
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.5%
Missing10
Missing (%)2.6%
Memory size16.2 KiB
False
239 
True
130 
(Missing)
 
10
ValueCountFrequency (%)
False 239
63.1%
True 130
34.3%
(Missing) 10
 
2.6%
2024-10-02T19:59:19.082936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Alteracion en habilidades visuoespaciales
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)0.5%
Missing15
Missing (%)4.0%
Memory size16.2 KiB
False
235 
True
129 
(Missing)
 
15
ValueCountFrequency (%)
False 235
62.0%
True 129
34.0%
(Missing) 15
 
4.0%
2024-10-02T19:59:19.213664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

MMSE
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct28
Distinct (%)8.3%
Missing41
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean20.843195
Minimum0
Maximum30
Zeros25
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:19.337831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median23
Q327
95-th percentile30
Maximum30
Range30
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.2243558
Coefficient of variation (CV)0.39458229
Kurtosis0.93496217
Mean20.843195
Median Absolute Deviation (MAD)4
Skewness-1.2843515
Sum7045
Variance67.640028
MonotonicityNot monotonic
2024-10-02T19:59:19.486086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
27 28
 
7.4%
0 25
 
6.6%
30 24
 
6.3%
22 24
 
6.3%
25 23
 
6.1%
28 23
 
6.1%
23 22
 
5.8%
26 21
 
5.5%
29 20
 
5.3%
24 18
 
4.7%
Other values (18) 110
29.0%
(Missing) 41
 
10.8%
ValueCountFrequency (%)
0 25
6.6%
1 2
 
0.5%
3 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%
6 2
 
0.5%
9 6
 
1.6%
10 1
 
0.3%
11 4
 
1.1%
12 5
 
1.3%
ValueCountFrequency (%)
30 24
6.3%
29 20
5.3%
28 23
6.1%
27 28
7.4%
26 21
5.5%
25 23
6.1%
24 18
4.7%
23 22
5.8%
22 24
6.3%
21 18
4.7%

Saturacion de O2
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)4.5%
Missing45
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean94.008982
Minimum80
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:19.624311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile90
Q193
median94
Q396
95-th percentile98
Maximum99
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.601093
Coefficient of variation (CV)0.027668558
Kurtosis5.0673586
Mean94.008982
Median Absolute Deviation (MAD)1
Skewness-1.3077384
Sum31399
Variance6.7656848
MonotonicityNot monotonic
2024-10-02T19:59:19.748149image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
94 64
16.9%
93 54
14.2%
95 50
13.2%
96 37
9.8%
92 35
9.2%
97 29
7.7%
98 22
 
5.8%
91 17
 
4.5%
90 13
 
3.4%
88 3
 
0.8%
Other values (5) 10
 
2.6%
(Missing) 45
11.9%
ValueCountFrequency (%)
80 2
 
0.5%
84 1
 
0.3%
85 2
 
0.5%
88 3
 
0.8%
89 2
 
0.5%
90 13
 
3.4%
91 17
 
4.5%
92 35
9.2%
93 54
14.2%
94 64
16.9%
ValueCountFrequency (%)
99 3
 
0.8%
98 22
 
5.8%
97 29
7.7%
96 37
9.8%
95 50
13.2%
94 64
16.9%
93 54
14.2%
92 35
9.2%
91 17
 
4.5%
90 13
 
3.4%

Frecuencia respiratoria
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)4.2%
Missing167
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean16.900943
Minimum10
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:19.893308image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15
Q116
median16
Q318
95-th percentile18
Maximum25
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4907611
Coefficient of variation (CV)0.088205794
Kurtosis5.5340774
Mean16.900943
Median Absolute Deviation (MAD)1
Skewness0.52646902
Sum3583
Variance2.2223688
MonotonicityNot monotonic
2024-10-02T19:59:20.013233image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
16 102
26.9%
18 84
22.2%
14 8
 
2.1%
20 7
 
1.8%
17 5
 
1.3%
15 3
 
0.8%
25 1
 
0.3%
10 1
 
0.3%
22 1
 
0.3%
(Missing) 167
44.1%
ValueCountFrequency (%)
10 1
 
0.3%
14 8
 
2.1%
15 3
 
0.8%
16 102
26.9%
17 5
 
1.3%
18 84
22.2%
20 7
 
1.8%
22 1
 
0.3%
25 1
 
0.3%
ValueCountFrequency (%)
25 1
 
0.3%
22 1
 
0.3%
20 7
 
1.8%
18 84
22.2%
17 5
 
1.3%
16 102
26.9%
15 3
 
0.8%
14 8
 
2.1%
10 1
 
0.3%

Presión arterial sistólica
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)4.2%
Missing26
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean125.5779
Minimum90
Maximum175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:20.136281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum90
5-th percentile100
Q1110
median130
Q3135
95-th percentile150
Maximum175
Range85
Interquartile range (IQR)25

Descriptive statistics

Standard deviation15.30728
Coefficient of variation (CV)0.12189469
Kurtosis-0.26324874
Mean125.5779
Median Absolute Deviation (MAD)10
Skewness0.15990017
Sum44329
Variance234.31281
MonotonicityNot monotonic
2024-10-02T19:59:20.239040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
130 85
22.4%
120 59
15.6%
110 57
15.0%
140 55
14.5%
100 31
 
8.2%
150 18
 
4.7%
125 13
 
3.4%
160 12
 
3.2%
135 10
 
2.6%
115 4
 
1.1%
Other values (5) 9
 
2.4%
(Missing) 26
 
6.9%
ValueCountFrequency (%)
90 2
 
0.5%
100 31
 
8.2%
105 3
 
0.8%
110 57
15.0%
114 1
 
0.3%
115 4
 
1.1%
120 59
15.6%
125 13
 
3.4%
130 85
22.4%
135 10
 
2.6%
ValueCountFrequency (%)
175 1
 
0.3%
160 12
 
3.2%
150 18
 
4.7%
145 2
 
0.5%
140 55
14.5%
135 10
 
2.6%
130 85
22.4%
125 13
 
3.4%
120 59
15.6%
115 4
 
1.1%

Presión arterial diastólica
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)2.8%
Missing27
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean70.923295
Minimum40
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:20.349565image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile60
Q160
median70
Q380
95-th percentile90
Maximum100
Range60
Interquartile range (IQR)20

Descriptive statistics

Standard deviation10.109786
Coefficient of variation (CV)0.14254535
Kurtosis-0.20634688
Mean70.923295
Median Absolute Deviation (MAD)10
Skewness0.21415047
Sum24965
Variance102.20777
MonotonicityNot monotonic
2024-10-02T19:59:20.461246image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
70 121
31.9%
60 95
25.1%
80 66
17.4%
90 25
 
6.6%
85 16
 
4.2%
65 10
 
2.6%
75 9
 
2.4%
50 6
 
1.6%
40 2
 
0.5%
100 2
 
0.5%
(Missing) 27
 
7.1%
ValueCountFrequency (%)
40 2
 
0.5%
50 6
 
1.6%
60 95
25.1%
65 10
 
2.6%
70 121
31.9%
75 9
 
2.4%
80 66
17.4%
85 16
 
4.2%
90 25
 
6.6%
100 2
 
0.5%
ValueCountFrequency (%)
100 2
 
0.5%
90 25
 
6.6%
85 16
 
4.2%
80 66
17.4%
75 9
 
2.4%
70 121
31.9%
65 10
 
2.6%
60 95
25.1%
50 6
 
1.6%
40 2
 
0.5%

Frecuencia cardiaca
Real number (ℝ)

Distinct38
Distinct (%)10.9%
Missing30
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean72.681948
Minimum45
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-10-02T19:59:20.586157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile58
Q168
median70
Q380
95-th percentile90
Maximum120
Range75
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.11767
Coefficient of variation (CV)0.15296328
Kurtosis1.2843477
Mean72.681948
Median Absolute Deviation (MAD)10
Skewness0.64071536
Sum25366
Variance123.60258
MonotonicityNot monotonic
2024-10-02T19:59:20.728296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
70 117
30.9%
80 54
14.2%
60 51
13.5%
90 21
 
5.5%
85 17
 
4.5%
75 14
 
3.7%
65 8
 
2.1%
55 6
 
1.6%
50 6
 
1.6%
100 6
 
1.6%
Other values (28) 49
12.9%
(Missing) 30
 
7.9%
ValueCountFrequency (%)
45 2
 
0.5%
50 6
 
1.6%
54 1
 
0.3%
55 6
 
1.6%
56 1
 
0.3%
57 1
 
0.3%
58 2
 
0.5%
60 51
13.5%
63 2
 
0.5%
64 2
 
0.5%
ValueCountFrequency (%)
120 1
 
0.3%
115 1
 
0.3%
110 1
 
0.3%
100 6
 
1.6%
98 1
 
0.3%
96 1
 
0.3%
95 2
 
0.5%
94 1
 
0.3%
90 21
5.5%
88 1
 
0.3%

Grupo sanguineo
Categorical

Distinct7
Distinct (%)1.9%
Missing1
Missing (%)0.3%
Memory size24.8 KiB
O+
274 
A+
60 
O-
 
21
B+
 
14
A-
 
5
Other values (2)
 
4

Length

Max length3
Median length2
Mean length2.0079365
Min length2

Characters and Unicode

Total characters759
Distinct characters5
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowO+
2nd rowO+
3rd rowO+
4th rowO+
5th rowO+

Common Values

ValueCountFrequency (%)
O+ 274
72.3%
A+ 60
 
15.8%
O- 21
 
5.5%
B+ 14
 
3.7%
A- 5
 
1.3%
AB+ 3
 
0.8%
B- 1
 
0.3%
(Missing) 1
 
0.3%

Length

2024-10-02T19:59:20.860594image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-02T19:59:20.999147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
o 295
78.0%
a 65
 
17.2%
b 15
 
4.0%
ab 3
 
0.8%

Most occurring characters

ValueCountFrequency (%)
+ 351
46.2%
O 295
38.9%
A 68
 
9.0%
- 27
 
3.6%
B 18
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 381
50.2%
Math Symbol 351
46.2%
Dash Punctuation 27
 
3.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 295
77.4%
A 68
 
17.8%
B 18
 
4.7%
Math Symbol
ValueCountFrequency (%)
+ 351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 381
50.2%
Common 378
49.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 295
77.4%
A 68
 
17.8%
B 18
 
4.7%
Common
ValueCountFrequency (%)
+ 351
92.9%
- 27
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 351
46.2%
O 295
38.9%
A 68
 
9.0%
- 27
 
3.6%
B 18
 
2.4%

Zurdo
Boolean

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
379 
ValueCountFrequency (%)
False 379
100.0%
2024-10-02T19:59:21.128079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Tos
Boolean

Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.3%
Memory size16.3 KiB
False
353 
True
 
25
(Missing)
 
1
ValueCountFrequency (%)
False 353
93.1%
True 25
 
6.6%
(Missing) 1
 
0.3%
2024-10-02T19:59:21.221410image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing2
Missing (%)0.5%
Memory size16.3 KiB
True
344 
False
 
33
(Missing)
 
2
ValueCountFrequency (%)
True 344
90.8%
False 33
 
8.7%
(Missing) 2
 
0.5%
2024-10-02T19:59:21.325246image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.3%
Memory size16.3 KiB
True
371 
False
 
7
(Missing)
 
1
ValueCountFrequency (%)
True 371
97.9%
False 7
 
1.8%
(Missing) 1
 
0.3%
2024-10-02T19:59:21.452129image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.3%
Memory size16.3 KiB
True
360 
False
 
18
(Missing)
 
1
ValueCountFrequency (%)
True 360
95.0%
False 18
 
4.7%
(Missing) 1
 
0.3%
2024-10-02T19:59:21.579230image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Fuerza
Categorical

Distinct5
Distinct (%)1.3%
Missing4
Missing (%)1.1%
Memory size25.1 KiB
5.0
240 
7.0
66 
4.0
60 
3.0
 
8
1.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1125
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 240
63.3%
7.0 66
 
17.4%
4.0 60
 
15.8%
3.0 8
 
2.1%
1.0 1
 
0.3%
(Missing) 4
 
1.1%

Length

2024-10-02T19:59:21.696275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-02T19:59:21.844110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
5.0 240
64.0%
7.0 66
 
17.6%
4.0 60
 
16.0%
3.0 8
 
2.1%
1.0 1
 
0.3%

Most occurring characters

ValueCountFrequency (%)
. 375
33.3%
0 375
33.3%
5 240
21.3%
7 66
 
5.9%
4 60
 
5.3%
3 8
 
0.7%
1 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 750
66.7%
Other Punctuation 375
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 375
50.0%
5 240
32.0%
7 66
 
8.8%
4 60
 
8.0%
3 8
 
1.1%
1 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 375
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1125
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 375
33.3%
0 375
33.3%
5 240
21.3%
7 66
 
5.9%
4 60
 
5.3%
3 8
 
0.7%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 375
33.3%
0 375
33.3%
5 240
21.3%
7 66
 
5.9%
4 60
 
5.3%
3 8
 
0.7%
1 1
 
0.1%

Moviliza 4 extremidades
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing2
Missing (%)0.5%
Memory size16.3 KiB
True
368 
False
 
9
(Missing)
 
2
ValueCountFrequency (%)
True 368
97.1%
False 9
 
2.4%
(Missing) 2
 
0.5%
2024-10-02T19:59:21.966370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Glabelar
Boolean

Distinct2
Distinct (%)0.5%
Missing3
Missing (%)0.8%
Memory size16.3 KiB
False
242 
True
134 
(Missing)
 
3
ValueCountFrequency (%)
False 242
63.9%
True 134
35.4%
(Missing) 3
 
0.8%
2024-10-02T19:59:22.077273image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Ociqueo
Boolean

Distinct2
Distinct (%)0.5%
Missing3
Missing (%)0.8%
Memory size16.3 KiB
False
295 
True
81 
(Missing)
 
3
ValueCountFrequency (%)
False 295
77.8%
True 81
 
21.4%
(Missing) 3
 
0.8%
2024-10-02T19:59:22.202912image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Marinesco
Boolean

Distinct2
Distinct (%)0.5%
Missing3
Missing (%)0.8%
Memory size16.3 KiB
False
332 
True
44 
(Missing)
 
3
ValueCountFrequency (%)
False 332
87.6%
True 44
 
11.6%
(Missing) 3
 
0.8%
2024-10-02T19:59:22.336217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Babinski
Boolean

Distinct2
Distinct (%)0.5%
Missing3
Missing (%)0.8%
Memory size16.3 KiB
False
373 
True
 
3
(Missing)
 
3
ValueCountFrequency (%)
False 373
98.4%
True 3
 
0.8%
(Missing) 3
 
0.8%
2024-10-02T19:59:22.476296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Romberg
Boolean

Distinct2
Distinct (%)0.5%
Missing3
Missing (%)0.8%
Memory size16.3 KiB
False
357 
True
 
19
(Missing)
 
3
ValueCountFrequency (%)
False 357
94.2%
True 19
 
5.0%
(Missing) 3
 
0.8%
2024-10-02T19:59:22.603814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing3
Missing (%)0.8%
Memory size16.3 KiB
False
370 
True
 
6
(Missing)
 
3
ValueCountFrequency (%)
False 370
97.6%
True 6
 
1.6%
(Missing) 3
 
0.8%
2024-10-02T19:59:22.729759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Bipedestacion
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.8%
Missing6
Missing (%)1.6%
Memory size25.1 KiB
No
301 
Con ayuda
64 
Si
 
8

Length

Max length9
Median length2
Mean length3.2010724
Min length2

Characters and Unicode

Total characters1194
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCon ayuda
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No 301
79.4%
Con ayuda 64
 
16.9%
Si 8
 
2.1%
(Missing) 6
 
1.6%

Length

2024-10-02T19:59:22.856107image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-02T19:59:23.014235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
no 301
68.9%
con 64
 
14.6%
ayuda 64
 
14.6%
si 8
 
1.8%

Most occurring characters

ValueCountFrequency (%)
o 365
30.6%
N 301
25.2%
a 128
 
10.7%
C 64
 
5.4%
n 64
 
5.4%
64
 
5.4%
y 64
 
5.4%
u 64
 
5.4%
d 64
 
5.4%
S 8
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 757
63.4%
Uppercase Letter 373
31.2%
Space Separator 64
 
5.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 365
48.2%
a 128
 
16.9%
n 64
 
8.5%
y 64
 
8.5%
u 64
 
8.5%
d 64
 
8.5%
i 8
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
N 301
80.7%
C 64
 
17.2%
S 8
 
2.1%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1130
94.6%
Common 64
 
5.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 365
32.3%
N 301
26.6%
a 128
 
11.3%
C 64
 
5.7%
n 64
 
5.7%
y 64
 
5.7%
u 64
 
5.7%
d 64
 
5.7%
S 8
 
0.7%
i 8
 
0.7%
Common
ValueCountFrequency (%)
64
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 365
30.6%
N 301
25.2%
a 128
 
10.7%
C 64
 
5.4%
n 64
 
5.4%
64
 
5.4%
y 64
 
5.4%
u 64
 
5.4%
d 64
 
5.4%
S 8
 
0.7%

Apoyo en talones
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.8%
Missing7
Missing (%)1.8%
Memory size24.9 KiB
No
296 
Con ayuda
48 
Si
 
28

Length

Max length9
Median length2
Mean length2.9032258
Min length2

Characters and Unicode

Total characters1080
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No 296
78.1%
Con ayuda 48
 
12.7%
Si 28
 
7.4%
(Missing) 7
 
1.8%

Length

2024-10-02T19:59:23.149463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-02T19:59:23.317249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
no 296
70.5%
con 48
 
11.4%
ayuda 48
 
11.4%
si 28
 
6.7%

Most occurring characters

ValueCountFrequency (%)
o 344
31.9%
N 296
27.4%
a 96
 
8.9%
C 48
 
4.4%
n 48
 
4.4%
48
 
4.4%
y 48
 
4.4%
u 48
 
4.4%
d 48
 
4.4%
S 28
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 660
61.1%
Uppercase Letter 372
34.4%
Space Separator 48
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 344
52.1%
a 96
 
14.5%
n 48
 
7.3%
y 48
 
7.3%
u 48
 
7.3%
d 48
 
7.3%
i 28
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
N 296
79.6%
C 48
 
12.9%
S 28
 
7.5%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1032
95.6%
Common 48
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 344
33.3%
N 296
28.7%
a 96
 
9.3%
C 48
 
4.7%
n 48
 
4.7%
y 48
 
4.7%
u 48
 
4.7%
d 48
 
4.7%
S 28
 
2.7%
i 28
 
2.7%
Common
ValueCountFrequency (%)
48
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 344
31.9%
N 296
27.4%
a 96
 
8.9%
C 48
 
4.4%
n 48
 
4.4%
48
 
4.4%
y 48
 
4.4%
u 48
 
4.4%
d 48
 
4.4%
S 28
 
2.6%

Apoyo en puntas
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.8%
Missing7
Missing (%)1.8%
Memory size25.0 KiB
No
293 
Con ayuda
50 
Si
 
29

Length

Max length9
Median length2
Mean length2.9408602
Min length2

Characters and Unicode

Total characters1094
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No 293
77.3%
Con ayuda 50
 
13.2%
Si 29
 
7.7%
(Missing) 7
 
1.8%

Length

2024-10-02T19:59:23.452478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-02T19:59:23.616947image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
no 293
69.4%
con 50
 
11.8%
ayuda 50
 
11.8%
si 29
 
6.9%

Most occurring characters

ValueCountFrequency (%)
o 343
31.4%
N 293
26.8%
a 100
 
9.1%
C 50
 
4.6%
n 50
 
4.6%
50
 
4.6%
y 50
 
4.6%
u 50
 
4.6%
d 50
 
4.6%
S 29
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 672
61.4%
Uppercase Letter 372
34.0%
Space Separator 50
 
4.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 343
51.0%
a 100
 
14.9%
n 50
 
7.4%
y 50
 
7.4%
u 50
 
7.4%
d 50
 
7.4%
i 29
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
N 293
78.8%
C 50
 
13.4%
S 29
 
7.8%
Space Separator
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1044
95.4%
Common 50
 
4.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 343
32.9%
N 293
28.1%
a 100
 
9.6%
C 50
 
4.8%
n 50
 
4.8%
y 50
 
4.8%
u 50
 
4.8%
d 50
 
4.8%
S 29
 
2.8%
i 29
 
2.8%
Common
ValueCountFrequency (%)
50
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1094
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 343
31.4%
N 293
26.8%
a 100
 
9.1%
C 50
 
4.6%
n 50
 
4.6%
50
 
4.6%
y 50
 
4.6%
u 50
 
4.6%
d 50
 
4.6%
S 29
 
2.7%

Diadococinesia
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.5%
Missing7
Missing (%)1.8%
Memory size16.3 KiB
False
350 
True
 
22
(Missing)
 
7
ValueCountFrequency (%)
False 350
92.3%
True 22
 
5.8%
(Missing) 7
 
1.8%
2024-10-02T19:59:23.766072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Metria
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.5%
Missing8
Missing (%)2.1%
Memory size16.3 KiB
False
355 
True
 
16
(Missing)
 
8
ValueCountFrequency (%)
False 355
93.7%
True 16
 
4.2%
(Missing) 8
 
2.1%
2024-10-02T19:59:23.898946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Pinza
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)0.5%
Missing7
Missing (%)1.8%
Memory size16.3 KiB
False
357 
True
 
15
(Missing)
 
7
ValueCountFrequency (%)
False 357
94.2%
True 15
 
4.0%
(Missing) 7
 
1.8%
2024-10-02T19:59:24.043679image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Oposicion de pulgar
Boolean

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct2
Distinct (%)0.5%
Missing6
Missing (%)1.6%
Memory size16.3 KiB
False
349 
True
 
24
(Missing)
 
6
ValueCountFrequency (%)
False 349
92.1%
True 24
 
6.3%
(Missing) 6
 
1.6%
2024-10-02T19:59:24.171085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing1
Missing (%)0.3%
Memory size16.3 KiB
False
343 
True
35 
(Missing)
 
1
ValueCountFrequency (%)
False 343
90.5%
True 35
 
9.2%
(Missing) 1
 
0.3%
2024-10-02T19:59:24.298697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
True
252 
False
127 
ValueCountFrequency (%)
True 252
66.5%
False 127
33.5%
2024-10-02T19:59:24.444468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Delirios
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
371 
True
 
8
ValueCountFrequency (%)
False 371
97.9%
True 8
 
2.1%
2024-10-02T19:59:24.578632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
368 
True
 
11
ValueCountFrequency (%)
False 368
97.1%
True 11
 
2.9%
2024-10-02T19:59:24.703521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
323 
True
56 
ValueCountFrequency (%)
False 323
85.2%
True 56
 
14.8%
2024-10-02T19:59:24.836117image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
328 
True
51 
ValueCountFrequency (%)
False 328
86.5%
True 51
 
13.5%
2024-10-02T19:59:24.977691image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
349 
True
 
30
ValueCountFrequency (%)
False 349
92.1%
True 30
 
7.9%
2024-10-02T19:59:25.121127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Euforia/Júbilo
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
367 
True
 
12
ValueCountFrequency (%)
False 367
96.8%
True 12
 
3.2%
2024-10-02T19:59:25.333973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
348 
True
 
31
ValueCountFrequency (%)
False 348
91.8%
True 31
 
8.2%
2024-10-02T19:59:25.489498image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Desinhibición
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
356 
True
 
23
ValueCountFrequency (%)
False 356
93.9%
True 23
 
6.1%
2024-10-02T19:59:25.641439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
327 
True
52 
ValueCountFrequency (%)
False 327
86.3%
True 52
 
13.7%
2024-10-02T19:59:25.790582image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
340 
True
39 
ValueCountFrequency (%)
False 340
89.7%
True 39
 
10.3%
2024-10-02T19:59:25.940542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
303 
True
76 
ValueCountFrequency (%)
False 303
79.9%
True 76
 
20.1%
2024-10-02T19:59:26.089454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
False
362 
True
 
17
ValueCountFrequency (%)
False 362
95.5%
True 17
 
4.5%
2024-10-02T19:59:26.228467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Estado cognitivo
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
Otra alteracion mental o del SNC
172 
Demencia
111 
Cognitivamente Sano
96 

Length

Max length32
Median length19
Mean length21.6781
Min length8

Characters and Unicode

Total characters8216
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCognitivamente Sano
2nd rowCognitivamente Sano
3rd rowOtra alteracion mental o del SNC
4th rowOtra alteracion mental o del SNC
5th rowCognitivamente Sano

Common Values

ValueCountFrequency (%)
Otra alteracion mental o del SNC 172
45.4%
Demencia 111
29.3%
Cognitivamente Sano 96
25.3%

Length

2024-10-02T19:59:26.350982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-02T19:59:26.501184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
otra 172
12.9%
alteracion 172
12.9%
mental 172
12.9%
o 172
12.9%
del 172
12.9%
snc 172
12.9%
demencia 111
8.3%
cognitivamente 96
7.2%
sano 96
7.2%

Most occurring characters

ValueCountFrequency (%)
a 991
12.1%
956
11.6%
e 930
11.3%
n 743
9.0%
t 708
8.6%
o 536
 
6.5%
l 516
 
6.3%
i 475
 
5.8%
m 379
 
4.6%
r 344
 
4.2%
Other values (9) 1638
19.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6269
76.3%
Uppercase Letter 991
 
12.1%
Space Separator 956
 
11.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 991
15.8%
e 930
14.8%
n 743
11.9%
t 708
11.3%
o 536
8.6%
l 516
8.2%
i 475
7.6%
m 379
 
6.0%
r 344
 
5.5%
c 283
 
4.5%
Other values (3) 364
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
C 268
27.0%
S 268
27.0%
N 172
17.4%
O 172
17.4%
D 111
11.2%
Space Separator
ValueCountFrequency (%)
956
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7260
88.4%
Common 956
 
11.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 991
13.7%
e 930
12.8%
n 743
10.2%
t 708
9.8%
o 536
 
7.4%
l 516
 
7.1%
i 475
 
6.5%
m 379
 
5.2%
r 344
 
4.7%
c 283
 
3.9%
Other values (8) 1355
18.7%
Common
ValueCountFrequency (%)
956
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 991
12.1%
956
11.6%
e 930
11.3%
n 743
9.0%
t 708
8.6%
o 536
 
6.5%
l 516
 
6.3%
i 475
 
5.8%
m 379
 
4.6%
r 344
 
4.2%
Other values (9) 1638
19.9%

Interactions

2024-10-02T19:58:58.793371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:31.334674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:33.412366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:35.547606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:37.490446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:39.373915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:41.706228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:43.761050image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:45.722579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:47.586415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:50.086609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:52.918742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:55.180503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:56.804051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:58.933929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:31.444715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:33.600311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:35.676436image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:37.614452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:39.505099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:41.860269image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:43.894924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:45.848496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:47.740367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:50.231152image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:53.059305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:55.315950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:56.922260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:59.071095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:31.564098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:33.733933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:35.802831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:37.747936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:39.633303image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:41.989382image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:44.016200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:45.973545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:47.890085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:50.374186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:53.251920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:55.448264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:57.047112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:59.221044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:31.699183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:33.886113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:35.935091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:37.894659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:39.773823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:42.117316image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:44.139376image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:46.104721image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:48.051927image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:50.508748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:53.425064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:55.600845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:57.169972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:59.369362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:31.831767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:34.029599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:36.059956image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:38.028030image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:39.917303image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:42.247193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:44.266343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:46.242315image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:48.199420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:51.027004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:53.624809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:55.738283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:57.309424image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:59.496462image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:31.953576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:34.161948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:36.188305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:38.160658image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:40.036428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:42.378692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:44.398037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:46.382922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:48.346035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:51.230767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:53.783504image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:55.836743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:57.448017image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:59.638940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:32.085189image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:34.382262image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:36.332103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:38.306636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:40.500904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:42.528484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:44.549387image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:46.530722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:48.497808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:51.445914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:53.977197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:55.947151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:57.588473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:59.764724image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:32.492457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:34.514469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:36.476018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:38.434919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:40.619931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:42.673103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:44.683693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:46.663023image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:48.691416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:51.650235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:54.113175image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:56.048574image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:57.793371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:59.882161image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:32.604289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:34.652093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:36.598982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:38.564746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:40.732293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:42.880372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:44.813126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:46.782955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:48.879487image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:51.807349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:54.244389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:56.140734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:57.928331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:59:00.011919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:32.732464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:34.801663image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:36.751661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:38.704205image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:40.878281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:43.029256image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:44.956165image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:46.894357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:49.148948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:51.978359image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:54.395387image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:56.248667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:58.076102image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:59:00.165894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:32.868184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:34.953236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:36.906535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:38.853239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:41.028439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:43.163306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:45.114075image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:47.028207image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:49.326120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:52.214481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:54.569137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:56.356209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:58.210928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:59:00.307319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:33.004963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:35.108230image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:37.047095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:38.978745image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:41.174795image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:43.309552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:45.276165image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:47.171381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:49.528048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:52.469932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:54.753552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:56.460686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:58.365235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:59:00.441370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:33.129425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:35.246275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:37.179441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:39.094800image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:41.303135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:43.443530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:45.413893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:47.297614image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:49.710448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:52.637389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:54.878165image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:56.546722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:58.498072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:59:00.587343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:33.271866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:35.401100image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:37.326456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:39.228337image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:41.528007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:43.607167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:45.567289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:47.444829image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:49.916561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:52.777980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:55.023439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:56.643692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2024-10-02T19:58:58.644375image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2024-10-02T19:59:26.821525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
EdadEscolaridadNúmero de hijosNúmero de nietosNumero de bisnietosNumero de medicamentosHace cuanto dejo de fumarBarthelMMSESaturacion de O2Frecuencia respiratoriaPresión arterial sistólicaPresión arterial diastólicaFrecuencia cardiacaHombreOcupaciónEstado civilVive soloCiudad de residenciaCuidador No SolazCuidador SolazHTAHTA afDislipidemiaDislipidemia afDiabetesDiabetes afEnfermedad ocularEnfermedad auditivaTrastornos psiquiatricosDepresionAnsiedadTrastorno afectivo bipolarOtro trastorno psiquiatrico o alteracion mentalTrastornos psiquiatricos afEnf. neurodegenerativasEnfermedad de AlzheimerDegeneracion lobar frontotemporalDeterioro cognitivo vascularEnfermedad de ParkinsonDemencia por cuerpos de LewyEnf. neurodegenerativas afFamiliares paternos demenciaFamiliares maternos demenciaHermanos demenciaCáncerCáncer afEnf renalEnf renal afEnf cardiacaArritmiaMarcapasosPaciente anticoaguladoEnf cardiaca afEnf respiratoriaEnf respiratoria afEnf hepáticaEnf hepática afEnf tiroideaEnf tiroidea afEnf cerebro vascularEnf cerebro vascular afEnf transmisión sexualMigrañaEpilepsiaEpilepsia afTrastorno del neurodesarrolloTECCovidCaídasTabaquismo activoExtabaquismoAlcoholismo o abuso de licorConsume alcohol de forma activaPSACirugias ortopedicasAlteracion en orientacion tiempoAlteracion en orientacion espacioAlteracion en memoriaAlteracion en atencion y calculoAlteracion en evocacionAlteracion en lenguajeAlteracion en habilidades visuoespacialesGrupo sanguineoTosReflejo pupilarMovimiento ocularRostro simetricoFuerzaMoviliza 4 extremidadesGlabelarOciqueoMarinescoBabinskiRombergPrension palmarBipedestacionApoyo en talonesApoyo en puntasDiadococinesiaMetriaPinzaOposicion de pulgarEdema en los piesQuejas cognitivasDeliriosAlucinacionesAgitación/AgresividadDepresión/DisforiaSintomas de ansiedadEuforia/JúbiloApatía/IndiferenciaDesinhibiciónIrritabilidad/Labilidad emocionalSueño/Trastornos del sueñoApetito/Trastornos de conducta alimentariaInquietud motoraEstado cognitivo
Edad1.000-0.2400.3820.4240.3450.1090.046-0.260-0.085-0.1280.0060.117-0.072-0.0140.0000.1650.1790.0000.2870.0000.0880.1400.0940.0000.0000.0000.1890.1610.2640.0840.0410.0950.0000.1160.0000.0000.0000.3160.0000.0000.0000.0440.1180.1340.0000.0000.0690.0000.2780.0000.0540.1270.0000.1450.0800.0740.0000.0000.0000.2950.0950.0830.3770.0000.1820.0000.5710.2440.0000.1430.0000.0000.0370.0000.1710.0820.1690.1420.1470.1560.1470.1510.1120.0000.0900.0610.3010.3180.0930.3340.1240.0560.1070.2210.0000.0400.2900.1120.1180.2240.3400.4340.3250.0470.1100.1060.0000.0000.0000.0710.0240.0000.1270.0000.0000.0000.0000.064
Escolaridad-0.2401.000-0.236-0.226-0.185-0.0640.0060.0960.2040.090-0.0490.0490.133-0.0970.2940.2430.2730.0000.0000.1010.0790.1020.0000.0290.0000.0880.1240.0000.0280.0000.0000.0000.0000.0400.0000.1110.0610.0000.0000.0000.0000.0450.0530.0000.0000.0000.1250.0000.0000.0000.0000.0370.0750.0000.0000.0000.0000.0000.1360.0000.0870.1420.0000.1830.0000.0000.6500.0700.0000.0000.0000.0810.0000.0730.3150.0000.0330.0000.1940.1050.0500.1760.2570.0000.0330.0000.0000.2070.0840.1950.0790.1030.0000.1550.0000.0000.1470.0700.0550.0770.0620.2220.1240.0000.1600.1360.0250.0000.0950.0920.1350.0000.1960.0000.0000.0000.0690.041
Número de hijos0.382-0.2361.0000.6490.3490.1710.098-0.110-0.058-0.1260.0480.083-0.028-0.0190.0000.0000.2450.0000.0000.0000.0000.0940.0000.2430.0000.0590.1330.0000.2660.1120.1420.0000.0000.0000.1330.0930.1350.0420.0000.0000.0000.0000.0000.0000.0000.1110.1150.0000.0000.1690.2370.1720.0000.0000.0850.1200.0000.1260.0000.0000.0000.0000.0000.0000.0000.0990.1220.0000.0900.2040.0000.1200.0000.0000.0000.0000.0000.0000.0620.0000.0460.0530.1150.0000.1620.1120.0330.0000.1290.0000.0660.0570.0000.0000.2070.0000.0440.1260.0840.0000.0000.0000.0000.0000.0000.0000.0000.0540.0890.1240.0000.0670.0000.1240.1790.0140.0000.000
Número de nietos0.424-0.2260.6491.0000.4410.1550.047-0.0140.041-0.0690.0620.080-0.0510.0070.1090.0000.0000.0000.0000.0000.0000.0420.0000.1490.0000.1340.1170.0870.2010.0990.1410.0000.0000.0000.0740.0570.0640.0000.0000.0000.0000.0000.0000.1620.0000.0400.0000.0000.0000.1150.1820.0210.0000.0000.0950.1140.0000.0000.0410.0000.0800.0000.0000.0000.0000.0000.0000.0340.0320.0890.0000.0790.0000.0000.0000.0000.0000.0750.1160.0790.0000.0780.0900.0000.2100.1360.0000.0000.0000.0000.1800.0830.0890.0000.1870.0000.0000.0640.0500.0000.0000.0000.0000.0000.0000.0000.0000.1440.0780.0000.2850.0000.1690.1710.1050.0000.2290.119
Numero de bisnietos0.345-0.1850.3490.4411.0000.0540.061-0.136-0.0390.0470.0480.1040.0020.0140.0000.0000.0000.1330.1290.0000.2950.0000.0000.0000.0000.0000.0000.1170.0920.0000.0000.0000.0000.1990.2000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0860.0980.1350.0000.0000.1020.2970.0380.1700.0700.1250.0350.0000.0000.0760.1010.0590.1330.0000.0000.1980.0000.0000.0000.1450.1670.0000.0450.0000.0000.0000.0840.0760.0720.0830.0190.0860.0570.0940.0000.1320.0300.0000.0000.0000.0000.0000.0700.0000.0000.0000.0000.0000.1410.1600.0000.0000.0000.0000.0000.0910.0000.0000.0000.0000.0000.0000.0000.0000.0000.0840.0000.0000.046
Numero de medicamentos0.109-0.0640.1710.1550.0541.000-0.064-0.1730.007-0.1140.001-0.087-0.196-0.0980.0910.0040.1160.0000.0000.1020.0000.3240.0000.0000.0130.3240.1090.0000.1520.0190.0930.0000.1300.0400.0790.0490.1010.0000.0000.0410.0000.0700.1160.0000.0890.0000.0000.0000.0000.2580.1140.0100.0740.0000.0760.1510.1420.0000.0740.0000.0650.0000.0000.0000.0000.0000.0000.0000.0810.1110.0750.0000.0300.1060.0740.0000.0000.0000.0760.0000.0000.1120.0000.0000.0750.0340.1600.1250.1060.0820.0740.0000.0880.0220.2410.0000.0820.1050.1310.0700.0000.0000.0000.1490.1520.1200.0000.1460.0000.0000.0000.0810.0000.0560.0130.0690.0000.170
Hace cuanto dejo de fumar0.0460.0060.0980.0470.061-0.0641.0000.026-0.0760.0890.0540.0890.051-0.0460.1550.0460.0000.0000.0000.0000.0000.0000.0000.1220.0980.1700.0000.0330.0770.0000.0330.0000.2100.0000.0000.0210.1320.0000.0000.0000.0000.1310.0000.1950.1490.0000.0000.0000.0000.0680.0000.0000.0930.0000.1890.1560.0980.1130.0000.0000.0000.0000.0980.0000.0000.0000.0000.0000.0000.0000.3310.9530.3800.0900.2210.0000.0000.0000.0000.1630.1750.0880.0940.1440.0770.0000.0000.0000.0000.1020.0410.0790.0000.1090.0000.0000.0000.0750.0000.0000.0000.0000.0000.0610.0000.0000.0000.0000.0000.0000.1860.0000.1760.0000.0140.0000.0000.000
Barthel-0.2600.096-0.110-0.014-0.136-0.1730.0261.0000.4130.146-0.1560.1460.169-0.0260.2050.0540.0000.1250.0000.2900.3090.0000.0000.0000.1870.1420.0000.0000.0680.0000.0000.0000.0000.0000.1740.1920.0000.1150.2310.1050.4670.0500.0000.0450.0750.0000.0000.0960.0000.0000.0000.0000.1270.1460.1460.0880.0810.1180.0890.5460.0000.1230.0000.3270.0000.2020.1070.0000.0000.0990.0000.0000.1080.0000.0810.0000.0690.2380.3850.2240.0000.4230.3610.0000.2190.1690.0000.1380.2880.2500.1860.2050.0000.1860.2100.4660.4010.3110.3150.1930.0000.0000.0000.1910.0700.2000.2030.1560.0000.0000.1240.1730.2000.0000.2000.3450.1140.222
MMSE-0.0850.204-0.0580.041-0.0390.007-0.0760.4131.0000.035-0.1300.014-0.017-0.0670.0000.1120.0000.0000.0000.0890.2610.1070.1160.1430.0460.0000.0000.1980.0000.0950.1230.0380.0000.0000.0000.2620.2970.1890.0290.0000.0000.1440.0790.0000.1040.0680.0000.0000.0000.1000.0000.0000.0310.2130.0000.0490.0000.0000.0470.1140.0950.0000.0000.0000.0000.0000.1890.0000.0000.1930.0000.0000.0000.1421.0000.0000.5690.6220.7360.5810.4420.7230.6740.0000.0540.1490.0000.0000.1510.0000.2300.3290.1580.0000.0430.3420.1320.0000.0000.0770.0930.0000.0000.0680.0000.0000.1440.2420.2230.2300.2570.1840.2950.3360.1420.2290.2110.570
Saturacion de O2-0.1280.090-0.126-0.0690.047-0.1140.0890.1460.0351.0000.0640.0590.0070.0510.0000.0000.0000.0000.0000.2210.0000.1080.1870.0000.0000.2220.1710.0000.0000.0990.1450.0000.0000.0000.0210.1530.0771.0000.0170.1590.1720.0000.0840.0000.0000.1340.0550.0000.0000.0620.0000.0000.0000.0000.2870.1440.0000.0000.0130.1410.0000.1510.0000.0970.2170.0000.0000.1040.0000.0770.2290.0690.0000.0000.0000.1300.0000.0000.0690.0000.0000.0850.0000.0580.2070.0000.2980.0000.0000.0370.0000.0000.1730.0000.0360.0000.0000.0990.0920.0000.0000.0000.0970.2010.1020.0680.1050.0000.0000.0000.0540.0000.0000.0240.0000.0000.0000.161
Frecuencia respiratoria0.006-0.0490.0480.0620.0480.0010.054-0.156-0.1300.0641.000-0.0490.0260.1320.2140.0000.0000.0000.0000.1680.1450.0000.2170.0990.0000.0000.1630.1110.0790.0450.0000.0000.0000.0000.0000.0750.0001.0000.0000.0000.4670.1500.0000.0670.0000.0760.0000.2330.0000.0000.0000.0000.0000.0620.0000.0000.0000.0000.1090.0000.0000.0000.0000.0000.0000.4651.0000.0000.0000.0000.0000.0000.0000.0661.0000.1100.0880.0000.1280.1390.0000.1140.1420.0760.1780.0000.0000.0000.0000.0000.0850.1680.3020.0000.0000.0000.0000.0830.0610.0000.0470.0000.0000.0000.0000.4640.3050.1760.0000.0000.1520.1930.2660.1470.0700.0000.3980.069
Presión arterial sistólica0.1170.0490.0830.0800.104-0.0870.0890.1460.0140.059-0.0491.0000.556-0.0570.0000.0000.1970.0000.3000.1640.0000.1220.0000.1120.0000.0000.0840.1730.0730.0540.0000.0000.0000.1150.0270.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0470.1260.0000.0000.0000.0470.0000.0000.0000.0000.1150.0000.0000.0000.0000.0000.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0340.0000.1020.1100.0000.0000.0000.0000.0000.0000.0890.0000.0000.0000.0630.1460.0730.0000.0000.0770.1240.0000.0300.0000.0000.0000.0000.1250.0000.1140.0000.0000.0000.1480.0000.0660.0820.0000.0000.0000.0000.0820.1280.0000.000
Presión arterial diastólica-0.0720.133-0.028-0.0510.002-0.1960.0510.169-0.0170.0070.0260.5561.000-0.0040.0640.0000.0610.0000.1540.1480.0000.0500.0000.0000.0000.1440.0000.0000.0970.0000.0000.0000.0000.0000.0000.0610.0810.0000.0000.0000.3290.0410.0000.0000.0000.1280.0870.0000.0000.0000.0000.0000.0000.0450.1010.1640.0910.0000.0000.0270.1390.0120.1520.0000.0000.0000.1030.0000.0970.0000.0000.0000.0000.0820.0000.0000.1280.1050.0000.0580.1290.0270.1410.0000.0000.1300.0000.0000.0700.0000.1470.1670.1180.0000.1200.2810.1800.0150.0000.2850.1630.0000.0000.0000.0000.1110.2670.0520.0000.0000.1280.1250.0000.1890.2220.0970.0000.091
Frecuencia cardiaca-0.014-0.097-0.0190.0070.014-0.098-0.046-0.026-0.0670.0510.132-0.057-0.0041.0000.1650.0000.0820.1670.1840.0780.0000.0520.0000.0000.1990.1250.0700.1650.0000.1640.1240.1520.0000.0000.0000.0000.0000.0000.0000.1350.0720.0000.0150.0000.0830.0130.0000.1860.0000.1680.0000.0000.0000.1440.0000.0000.0000.0000.0900.0000.0000.1510.0000.0780.0570.0000.2520.0000.0590.1020.0000.0000.2190.0000.3110.1210.0630.1260.0820.0980.0670.1370.0880.0290.0000.0000.0000.0000.0000.0000.0000.0410.0000.0000.1750.0470.0000.1940.1590.1830.2210.1270.0690.0980.1280.0000.0000.0000.0000.0000.0000.1740.0000.0000.0380.0000.0000.111
Hombre0.0000.2940.0000.1090.0000.0910.1550.2050.0000.0000.2140.0000.0640.1651.0000.5680.4270.0950.0000.0000.0000.0000.0000.0000.0000.1000.0000.0870.0740.1900.1870.0530.0000.0460.0880.0150.0000.0000.0000.1110.0000.0000.0000.0000.0000.0000.0460.0000.0000.0890.0000.0000.0000.0680.0000.0000.0350.0460.2420.0000.0000.0000.0000.0000.0000.0000.0000.0590.0000.0000.0000.1830.1420.0000.0000.0000.0000.0170.0000.0710.0220.0570.0000.0000.1220.0000.0000.0000.1300.0000.1120.1800.1560.0000.0000.0000.0540.0000.0000.1310.0630.0000.0810.0000.1260.0430.0560.0000.1390.0860.0000.0000.0000.0000.0200.0860.0000.000
Ocupación0.1650.2430.0000.0000.0000.0040.0460.0540.1120.0000.0000.0000.0000.0000.5681.0000.1980.0910.1840.0000.2760.0940.0000.0650.1430.0000.0000.1310.0000.0140.0000.0000.3170.0000.0000.0000.0750.0000.0000.0900.0000.0000.0000.0000.0000.0670.0800.0000.0000.1000.0000.0830.1080.1300.0000.0000.0000.0000.1420.0000.0000.0000.0700.0000.1710.0000.6540.1750.0350.1520.0000.0940.0420.0000.0000.0000.1390.0780.1160.2050.1240.0880.0860.0780.0000.1100.0000.1310.1030.0000.1600.1540.1550.0000.0000.0000.0000.0900.0720.1860.1970.2150.1880.1270.0790.1580.0520.0000.0990.0000.0000.0000.2080.0000.1220.1060.0000.000
Estado civil0.1790.2730.2450.0000.0000.1160.0000.0000.0000.0000.0000.1970.0610.0820.4270.1981.0000.2620.0000.0000.0000.0000.0000.0940.0850.0620.0000.0850.0450.0000.0140.0000.0000.0000.0000.0090.1020.0000.0000.0000.0000.0440.0000.0820.0000.0000.1180.0000.0000.1250.1170.0000.0000.0500.0000.0000.0000.0000.0000.1150.0960.0000.0000.1330.0000.0000.2840.0000.0000.0000.0000.0730.1550.0000.1780.0000.0000.0000.0000.0890.1310.0770.0000.0420.0000.0000.0000.0760.0850.0990.1270.1820.0000.0800.0000.0000.0000.0000.0000.0000.2640.0590.0810.0000.1320.0000.0000.0000.0000.0000.2680.0000.1950.0000.0000.0550.2160.029
Vive solo0.0000.0000.0000.0000.1330.0000.0000.1250.0000.0000.0000.0000.0000.1670.0950.0910.2621.0000.0970.0000.0000.0000.0840.0000.0000.0170.0000.0690.0000.0000.0000.0000.0000.0000.0220.1590.1160.0000.0000.0000.0000.0000.0000.0000.0000.0480.0000.0290.0630.0510.0000.0000.0340.0000.0000.0810.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1510.0000.0520.1330.1100.0910.0420.0000.0000.0000.1750.0000.0790.0680.0480.0000.0000.0000.1540.0990.0710.0000.0000.0000.0000.0000.0000.0000.0000.0830.0000.0000.0000.0000.0290.0350.0000.0620.0000.172
Ciudad de residencia0.2870.0000.0000.0000.1290.0000.0000.0000.0000.0000.0000.3000.1540.1840.0000.1840.0000.0971.0000.1660.0000.0000.0000.1480.6440.1020.1990.0950.0000.0000.0000.1320.0000.0000.0000.1650.2170.0000.0000.3020.0000.1780.0000.0380.1890.0000.0000.1220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1870.0000.1350.0000.0000.0000.3890.0000.0000.3100.1530.0000.0000.0450.0000.1320.0000.1900.0690.0000.0000.0000.0870.0000.0000.3830.0000.0000.0000.0250.1190.1860.0000.0930.0000.0000.0000.2850.2750.2900.2640.1660.4040.2360.3480.0000.0950.0000.0000.0000.2620.0000.0000.0000.0000.1380.0760.0000.3850.000
Cuidador No Solaz0.0000.1010.0000.0000.0000.1020.0000.2900.0890.2210.1680.1640.1480.0780.0000.0000.0000.0000.1661.0000.0000.0240.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0840.0000.0000.0000.1180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0600.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1530.0000.0590.0000.0000.0000.0000.0500.0000.0000.0440.1380.1240.0000.0000.1750.1520.1020.0610.0000.0000.0000.0000.0000.1440.1290.1210.0000.0000.0000.0000.0000.0000.0000.0760.0080.0000.0000.0000.0910.0000.0000.0000.0190.0000.102
Cuidador Solaz0.0880.0790.0000.0000.2950.0000.0000.3090.2610.0000.1450.0000.0000.0000.0000.2760.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0360.0000.0410.0000.0000.0130.0000.0000.0000.0000.0000.0000.0360.0500.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0400.0000.0000.0000.0000.0410.0000.0000.0000.0090.0600.0740.0270.0000.0000.0000.0500.0000.0000.0000.0000.0000.0760.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.000
HTA0.1400.1020.0940.0420.0000.3240.0000.0000.1070.1080.0000.1220.0500.0520.0000.0940.0000.0000.0000.0240.0001.0000.0000.0000.0000.1480.0000.0000.0000.1050.1240.0400.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0420.0000.1620.0000.1000.0000.0000.0000.0000.0000.0450.0000.0000.0440.0000.0220.0000.0000.0000.0000.0950.0000.0000.0000.0000.0530.0000.0000.0000.0000.0710.0380.0380.0580.0000.0000.0420.0000.1390.0000.0000.0000.0400.0290.0000.0000.0000.0000.0000.1150.0000.0000.0770.0480.0000.0000.0000.0000.1790.0000.0000.0000.0000.0000.0080.0000.0240.0000.0630.0000.0000.0000.012
HTA af0.0940.0000.0000.0000.0000.0000.0000.0000.1160.1870.2170.0000.0000.0000.0000.0000.0000.0840.0000.0000.0000.0001.0000.0000.0000.0000.0000.0670.0000.0000.0000.0000.0000.0000.0000.0400.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0990.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0360.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0340.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.1030.0000.0000.0000.0000.0000.0000.0000.130
Dislipidemia0.0000.0290.2430.1490.0000.0000.1220.0000.1430.0000.0990.1120.0000.0000.0000.0650.0940.0000.1480.0000.0000.0000.0001.0000.0000.0000.0310.0000.0000.0340.0370.1210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0660.0410.0000.0000.0000.0000.0500.0000.0000.0000.0000.0890.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0430.0000.0000.0000.0370.0000.0000.0000.0000.0570.0000.0000.0000.0000.0000.0000.0000.0000.0000.0460.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0660.0000.000
Dislipidemia af0.0000.0000.0000.0000.0000.0130.0980.1870.0460.0000.0000.0000.0000.1990.0000.1430.0850.0000.6440.0000.0000.0000.0000.0001.0000.0000.1520.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0470.0000.0000.0330.0320.0000.0000.0000.0000.0000.0000.0000.0310.0000.0000.0000.0000.1270.0000.0370.0310.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2040.0000.0000.0000.0000.000
Diabetes0.0000.0880.0590.1340.0000.3240.1700.1420.0000.2220.0000.0000.1440.1250.1000.0000.0620.0170.1020.0000.0000.1480.0000.0000.0001.0000.1500.1000.0150.0000.0000.0000.0000.0000.0000.1140.1460.0000.0000.0000.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0870.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0000.0990.1520.0130.0000.0790.0000.0000.0000.0000.0000.0000.0000.0460.0370.0290.0000.0000.0000.0000.0000.0000.0000.0570.0000.0000.1000.0000.1410.1640.1480.0000.0000.0000.0000.0590.0000.0000.0000.0000.0000.0000.0000.0000.0000.0690.0000.0000.0000.064
Diabetes af0.1890.1240.1330.1170.0000.1090.0000.0000.0000.1710.1630.0840.0000.0700.0000.0000.0000.0000.1990.0000.0000.0000.0000.0310.1520.1501.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0380.0000.0000.0000.0000.0000.0230.0600.0000.0000.0000.0000.0000.0000.0130.0000.0000.0230.0000.0000.0000.1100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0160.0510.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0390.0000.0000.0640.0000.0000.0000.0000.0000.000
Enfermedad ocular0.1610.0000.0000.0870.1170.0000.0330.0000.1980.0000.1110.1730.0000.1650.0870.1310.0850.0690.0950.0000.0000.0000.0670.0000.0000.1000.0001.0000.0460.0000.0000.0000.0000.0000.0450.0450.0460.0000.0070.0000.0640.0000.0000.0000.0000.0080.0530.0760.0000.0250.0330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0870.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0360.0000.0000.1070.0000.0000.0000.0000.0000.0110.0250.0000.0000.1530.0000.0000.0000.0000.0000.0000.0540.0000.0000.0000.0000.0930.1280.0270.0530.1080.1320.0680.0000.0590.0600.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Enfermedad auditiva0.2640.0280.2660.2010.0920.1520.0770.0680.0000.0000.0790.0730.0970.0000.0740.0000.0450.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0461.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0620.0000.1120.0000.0240.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0340.0000.0000.0000.0000.0000.0630.0410.0000.0000.0340.0000.0620.0000.0000.0000.0000.0000.0700.0000.0310.0750.0000.0440.0410.0000.0000.0000.0000.0000.0000.0000.0000.0680.0000.0000.0000.0000.0000.000
Trastornos psiquiatricos0.0840.0000.1120.0990.0000.0190.0000.0000.0950.0990.0450.0540.0000.1640.1900.0140.0000.0000.0000.0000.0000.1050.0000.0340.0000.0000.0000.0000.0001.0000.8220.4050.0800.3210.1090.0000.0000.0000.0000.0000.0000.0370.0640.0000.0000.0000.0000.0000.0000.0000.0000.0550.0000.0770.1140.0000.0000.0000.0000.0000.0100.0340.0350.0800.0000.0000.0000.0000.0000.0000.0000.0000.0560.0000.0000.0000.0000.0000.0250.0000.0000.0000.0000.0000.0000.0000.0000.0000.1070.0000.0000.0750.0000.0000.0000.0000.0650.1160.0780.0000.0440.0000.0000.0000.0000.0170.0640.0000.1740.0000.0000.0750.0400.0440.0000.0000.0000.036
Depresion0.0410.0000.1420.1410.0000.0930.0330.0000.1230.1450.0000.0000.0000.1240.1870.0000.0140.0000.0000.0370.0000.1240.0000.0370.0000.0000.0000.0000.0000.8221.0000.2040.0000.0660.1100.0410.0390.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.1610.0000.0000.0000.0000.0000.0000.0710.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0000.0070.1050.0000.0000.0380.0000.0000.0000.0000.0550.1200.0850.0000.0450.0000.0000.0000.0000.0000.0000.0000.1850.0000.0000.0000.0000.0350.0000.0000.0000.087
Ansiedad0.0950.0000.0000.0000.0000.0000.0000.0000.0380.0000.0000.0000.0000.1520.0530.0000.0000.0000.1320.0000.0000.0400.0000.1210.0000.0000.0000.0000.0000.4050.2041.0000.0000.0870.0270.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.1080.0000.0000.0000.0000.0820.0000.0000.0000.0000.0000.0000.0000.0000.0000.0310.0000.1080.0000.0000.0000.0360.0000.0240.0000.0140.0000.0000.0000.1220.0560.0740.0350.0480.0000.0000.0000.0000.0000.0000.0800.0000.0000.0000.0000.0000.0000.0000.0800.0350.0000.0000.0700.0000.0000.0000.0000.0000.0000.0000.0000.0530.0000.0000.0000.0000.0000.0000.0000.016
Trastorno afectivo bipolar0.0000.0000.0000.0000.0000.1300.2100.0000.0000.0000.0000.0000.0000.0000.0000.3170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0800.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1010.0000.0000.0000.0350.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0940.0910.0000.0000.0590.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.102
Otro trastorno psiquiatrico o alteracion mental0.1160.0400.0000.0000.1990.0400.0000.0000.0000.0000.0000.1150.0000.0000.0460.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3210.0660.0870.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.0000.0000.0000.0000.0800.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0680.0730.0680.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0460.0000.0000.0800.0000.0000.000
Trastornos psiquiatricos af0.0000.0000.1330.0740.2000.0790.0000.1740.0000.0210.0000.0270.0000.0000.0880.0000.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.1090.1100.0270.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.1080.0000.0000.0610.0000.0000.0000.0000.0470.0000.0000.0000.0000.0000.0000.0000.0000.0980.0000.0000.0000.1270.0000.0310.0000.0000.0000.0000.0640.0000.0000.0000.0000.0000.0000.0490.0240.0000.0000.0000.0000.1320.0150.0000.0000.0000.0420.0000.0000.0000.0000.0000.0000.0000.0300.0660.0170.0000.0340.0000.0000.0000.0310.0000.0000.0000.1050.0000.0000.0000.0000.0000.0000.0000.0000.000
Enf. neurodegenerativas0.0000.1110.0930.0570.0000.0490.0210.1920.2620.1530.0750.0000.0610.0000.0150.0000.0090.1590.1650.0840.0000.0000.0400.0000.0000.1140.0000.0450.0000.0000.0410.0000.0000.0000.0001.0000.7790.0730.1990.3220.1760.0770.0000.0570.0990.0000.0000.1080.0000.0060.0000.0000.0000.0770.0000.0000.0000.0000.0420.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0490.0000.0000.1610.1730.0800.1920.1000.1380.1430.1940.1870.0000.0000.0000.0000.0000.0620.1530.0000.0000.0280.0920.0000.0000.0000.0400.0000.0000.0000.0250.0000.0000.1380.1020.0000.0280.0000.0840.0230.1440.0760.1780.0570.430
Enfermedad de Alzheimer0.0000.0610.1350.0640.0000.1010.1320.0000.2970.0770.0000.0000.0810.0000.0000.0750.1020.1160.2170.0000.0000.0000.0000.0000.0000.1460.0000.0460.0000.0000.0390.0000.0000.0000.0000.7791.0000.0000.0000.0000.0000.1000.0000.1110.1170.0000.0000.0730.0000.0000.0000.0000.0000.0090.0000.0320.0000.0000.0310.0000.0930.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0730.0000.0270.0000.0000.2030.1680.0730.1680.0780.1290.0610.2230.1530.0480.0000.0610.0620.0000.0000.1240.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0560.1210.0000.0000.1030.0000.0860.0000.0800.0230.1210.0600.0840.0840.399
Degeneracion lobar frontotemporal0.3160.0000.0420.0000.0000.0000.0000.1150.1891.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0730.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0470.0000.0000.0330.0320.0000.0000.0000.0000.0000.0000.0000.0310.0000.0000.0000.0000.1270.0000.0000.0000.0000.0540.0000.0000.0000.0000.0000.0810.0000.0000.0000.0750.0000.0260.0000.0000.0000.0000.087
Deterioro cognitivo vascular0.0000.0000.0000.0000.0000.0000.0000.2310.0290.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.1990.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.1330.0430.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0500.0000.0910.0000.0000.0000.1040.0000.0000.0000.0000.1070.0000.0000.0000.0000.0000.0190.0000.0810.0000.0000.0000.0590.0000.0890.0000.0000.0000.035
Enfermedad de Parkinson0.0000.0000.0000.0000.0000.0410.0000.1050.0000.1590.0000.0000.0000.1350.1110.0900.0000.0000.3020.1180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3220.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0690.0000.0000.0000.0390.0000.0000.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.0000.0000.0000.0470.0000.0000.0000.0000.0000.0000.2510.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0810.0160.0000.0000.0000.0000.0000.0000.1170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1310.0000.054
Demencia por cuerpos de Lewy0.0000.0000.0000.0000.0000.0000.0000.4670.0000.1720.4670.0000.3290.0720.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0640.0000.0000.0000.0000.0000.0000.0000.1760.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0710.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0670.0000.0000.0000.0000.0000.0000.0000.0650.0620.0000.0000.0000.0580.0000.0000.0000.0000.0000.0000.0000.0000.0730.0000.3210.0000.0000.0000.0000.0000.0000.0000.0550.0000.0000.164
Enf. neurodegenerativas af0.0440.0450.0000.0000.0000.0700.1310.0500.1440.0000.1500.0000.0410.0000.0000.0000.0440.0000.1780.0000.0360.0000.0520.0000.0000.0220.0380.0000.0000.0370.0000.0000.0000.0000.0000.0770.1000.0000.0000.0000.0001.0000.2740.3820.4940.0480.0000.0080.0000.0490.0000.0000.0000.0000.0780.0000.0000.0000.0000.0000.0000.0000.0000.0630.0000.0000.0000.0000.0000.0000.0000.1400.0000.1270.0000.0000.0910.0420.0000.0890.1000.0000.0290.1520.1080.0000.0000.0360.0550.0000.0590.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0540.0780.0000.1120.0000.0000.1040.0000.0000.0000.0000.0000.0000.0000.0000.0000.187
Familiares paternos demencia0.1180.0530.0000.0000.0000.1160.0000.0000.0790.0840.0000.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0640.0160.0000.0000.0000.1080.0000.0000.0000.0000.0000.0000.2741.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0470.0000.0000.0000.0000.0000.0000.0000.0460.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0740.0000.0290.1250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1210.0000.0000.0000.0770.0460.0520.0000.0000.0000.0000.0000.0000.0820.0000.0380.0000.0000.0410.0000.0000.0520.0000.0000.0000.098
Familiares maternos demencia0.1340.0000.0000.1620.0000.0000.1950.0450.0000.0000.0670.0000.0000.0000.0000.0000.0820.0000.0380.0000.0410.0000.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.1010.0000.0000.0570.1110.0000.0000.0000.0000.3820.0001.0000.0000.0000.0520.0000.0000.0850.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1010.0000.0000.0000.0000.0000.0000.0220.0610.0940.0000.0000.0000.1120.0510.0000.0000.0160.0330.0000.1130.0000.0890.0000.0000.0000.0000.0000.0000.0420.0000.0000.0650.0000.0000.0000.0000.0000.0000.0000.0000.1240.0000.0000.0310.0000.0000.0000.0000.0570.0000.0000.0000.0000.090
Hermanos demencia0.0000.0000.0000.0000.0860.0890.1490.0750.1040.0000.0000.0000.0000.0830.0000.0000.0000.0000.1890.0000.0000.0000.0000.0410.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0990.1170.0000.0000.0000.0000.4940.0000.0001.0000.0000.0000.0630.0140.0000.0270.0000.0000.0000.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0350.0000.0000.0000.0650.0640.0000.1240.0000.0740.0000.0000.0000.0000.0220.0000.0000.0340.0000.0670.1440.0000.0000.0000.0390.0000.0530.0560.0000.0000.0000.0000.0630.0270.0000.0000.0000.0000.0000.0000.0670.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0990.0000.088
Cáncer0.0000.0000.1110.0400.0980.0000.0000.0000.0680.1340.0760.0470.1280.0130.0000.0670.0000.0480.0000.0000.0000.0420.0000.0000.0000.0000.0000.0080.0000.0000.0000.0170.0000.0000.0610.0000.0000.0000.0000.0000.0000.0480.0000.0000.0001.0000.0000.0620.0000.0000.0000.0000.0000.0000.0490.0000.0000.0280.0000.0000.0000.0470.0000.0000.0280.0000.0000.0000.0900.0000.0000.0000.0730.0000.0000.0000.0000.0380.0000.0000.0000.0000.0000.0210.0000.0000.0000.0880.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0350.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0400.0000.000
Cáncer af0.0690.1250.1150.0000.1350.0000.0000.0000.0000.0550.0000.1260.0870.0000.0460.0800.1180.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0530.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0520.0000.0001.0000.0000.0000.0000.1240.0000.0350.0000.0390.1040.0000.1640.0000.0000.0000.0000.0000.0000.0000.0510.0000.0290.0000.0000.0300.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2390.0000.0000.0210.0310.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0300.0000.0000.0000.0000.0000.0000.0000.0000.0550.0000.0000.000
Enf renal0.0000.0000.0000.0000.0000.0000.0000.0960.0000.0000.2330.0000.0000.1860.0000.0000.0000.0290.1220.0000.0000.1620.0000.0000.0000.0000.0230.0760.0000.0000.0000.0000.0350.0000.0000.1080.0730.0000.0000.0000.0000.0080.0000.0000.0630.0620.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1530.0000.0000.0000.0000.0000.0000.0000.0000.1460.1390.0000.0000.0000.0170.0350.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Enf renal af0.2780.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0630.0000.0000.0000.0000.0000.0000.0000.0000.0600.0000.0000.0000.0000.1080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0590.0000.0000.1090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Enf cardiaca0.0000.0000.1690.1150.1020.2580.0680.0000.1000.0620.0000.0000.0000.1680.0890.1000.1250.0510.0000.0000.0000.1000.0000.0500.0000.0000.0000.0250.0620.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0490.0000.0850.0000.0000.0000.0000.0001.0000.4190.3780.2790.0000.1960.0000.0000.0000.0000.0000.0920.0000.0270.0000.0000.0000.0000.0000.0000.0000.0000.0310.0000.0000.0000.0000.0520.0000.0000.0000.0000.0000.0480.0000.0000.0000.0000.0000.0270.0000.0000.0000.0000.0000.1130.0000.0560.0840.0710.0000.0000.0000.0000.0000.0000.0000.0000.0000.1200.0000.0000.0000.0000.0000.0000.0840.0000.000
Arritmia0.0540.0000.2370.1820.2970.1140.0000.0000.0000.0000.0000.0470.0000.0000.0000.0000.1170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.0000.0000.0000.0000.0000.0000.0470.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.1240.0000.0000.4191.0000.0000.1610.0000.0000.0840.0000.0000.0000.0000.0000.0000.0000.0390.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0000.0000.017
Marcapasos0.1270.0370.1720.0210.0380.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0830.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1120.0550.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0000.0000.3780.0001.0000.1130.0000.0680.0000.0430.1030.0630.0000.0000.0470.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0530.0570.0000.0000.0000.0540.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.0400.0000.0000.0000.1000.0580.0750.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.063
Paciente anticoagulado0.0000.0750.0000.0000.1700.0740.0930.1270.0310.0000.0000.0000.0000.0000.0000.1080.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0350.0000.0000.2790.1610.1131.0000.0000.0000.0000.0000.0000.0000.0000.1050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0320.0000.0140.0000.0380.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0820.0000.0000.0000.0000.0000.0000.0000.1130.1010.0930.0420.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0290.0000.000
Enf cardiaca af0.1450.0000.0000.0000.0700.0000.0000.1460.2130.0000.0620.0000.0450.1440.0680.1300.0500.0000.0000.0600.0360.0000.0000.0000.0000.0000.0000.0000.0240.0770.0000.0820.0000.0000.0000.0770.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0590.1200.1630.1420.1770.0770.1190.1370.0000.0000.0000.0000.0360.0750.0000.0840.0860.0000.0000.0000.0000.0000.0660.0770.0190.0000.0910.0000.0000.0000.0420.0000.1090.0000.0000.0000.0000.0000.1130.0000.0800.0680.110
Enf respiratoria0.0800.0000.0850.0950.1250.0760.1890.1460.0000.2870.0000.0000.1010.0000.0000.0000.0000.0000.0000.0000.0500.0000.0000.0890.0000.0870.0000.0000.0000.1140.1610.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0780.0000.0000.0320.0490.0390.0000.0000.1960.0000.0680.0000.0001.0000.1250.0000.0000.0000.0000.0780.0000.0000.0000.0000.0000.0000.0000.0000.0340.1260.0630.0000.0000.0000.0000.0450.0000.0000.0000.1060.0000.0000.0000.1150.0860.0000.0000.1230.0000.0000.0640.0000.0000.0000.0000.0000.0710.1000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0680.0580.0000.000
Enf respiratoria af0.0740.0000.1200.1140.0350.1510.1560.0880.0490.1440.0000.1150.1640.0000.0000.0000.0000.0810.0000.0000.0000.0450.0000.0000.0000.0000.0130.0000.0180.0000.0000.0000.0000.0000.0000.0000.0320.0000.0000.0000.0000.0000.0470.0000.0000.0000.1040.0000.0000.0000.0840.0000.0000.0000.1251.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0720.0000.0000.0000.0000.0930.0750.0510.1110.0710.0610.0000.0950.0480.0000.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0770.0000.0000.1150.0000.0000.0000.0310.0000.0000.0000.0580.0000.0000.0400.0000.0000.0000.0000.0680.0000.000
Enf hepática0.0000.0000.0000.0000.0000.1420.0980.0810.0000.0000.0000.0000.0910.0000.0350.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0690.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0430.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0460.2350.0000.0310.0800.0000.0000.0000.0000.1440.1330.0310.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.102
Enf hepática af0.0000.0000.1260.0000.0000.0000.1130.1180.0000.0000.0000.0000.0000.0000.0460.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.1640.0000.0000.0000.0000.1030.0000.0000.0000.0000.0001.0000.0940.0000.0460.0000.0000.0000.0000.0000.0000.0000.0420.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Enf tiroidea0.0000.1360.0000.0410.0760.0740.0000.0890.0470.0130.1090.0000.0000.0900.2420.1420.0000.0000.1870.0000.0000.0440.0990.0000.0000.0000.0230.0000.0000.0000.0000.0000.0540.0000.0000.0420.0310.0000.0250.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0630.0000.0000.0000.0000.0000.0941.0000.0000.0710.0360.0000.0000.0520.0000.0000.0000.0000.0000.0000.0000.0170.0660.0000.0000.1050.0390.0000.0000.0270.0390.0000.0000.0370.0000.0000.0000.0080.0000.0000.0150.1000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0050.0550.0000.0770.0000.206
Enf tiroidea af0.2950.0000.0000.0000.1010.0000.0000.5460.1140.1410.0000.0000.0270.0000.0000.0000.1150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0980.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0590.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0950.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1260.0000.0000.0000.0450.0000.0000.0000.0000.0520.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0620.0000.0000.0000.0000.0000.0000.0000.114
Enf cerebro vascular0.0950.0870.0000.0800.0590.0650.0000.0000.0950.0000.0000.0000.1390.0000.0000.0000.0960.0000.1350.0000.0000.0220.0000.0000.0000.0000.0000.0870.0000.0100.0000.0000.0000.0000.0000.0110.0930.0000.1330.0390.0000.0000.0000.0000.0000.0000.0000.0000.0000.0920.0000.0000.1050.0000.0780.0000.0000.0460.0710.0001.0000.0000.0000.0000.0000.0000.0000.0000.0500.0000.0000.0000.0520.0490.0000.0000.0670.0000.0400.0000.0000.0000.0000.0280.0000.0000.0000.1050.0690.0800.0000.0000.0000.0640.1000.0000.0650.0000.0000.2130.0480.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.117
Enf cerebro vascular af0.0830.1420.0000.0000.1330.0000.0000.1230.0000.1510.0000.0000.0120.1510.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0340.0710.0000.0000.0000.0000.0000.0170.0000.0430.0000.0000.0000.0000.0000.0000.0470.0000.0290.0000.0000.0000.0470.0000.0000.0000.0000.0000.0000.0360.0000.0001.0000.0000.0000.0000.0000.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0260.0450.0000.0210.1060.1310.1480.0000.0000.0000.0000.0000.0450.0930.1020.0930.0210.0000.0000.0000.0000.0000.0000.0000.0620.0000.0000.0470.0000.0710.0000.0000.0000.0000.000
Enf transmisión sexual0.3770.0000.0000.0000.0000.0000.0980.0000.0000.0000.0000.0660.1520.0000.0000.0700.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1100.0000.0000.0350.0000.0000.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1090.0270.0000.0000.0000.0000.0000.0000.0000.0000.0000.0950.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0570.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.052
Migraña0.0000.1830.0000.0000.0000.0000.0000.3270.0000.0970.0000.0000.0000.0780.0000.0000.1330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0800.0000.0310.0000.0000.1270.0000.0000.0000.0000.0000.0000.0630.0460.1010.0000.0000.0000.0000.0000.0000.0390.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0950.0000.0000.0000.0000.0000.0000.0000.0600.0000.0000.0000.0000.0000.0470.0000.0000.0000.0000.0000.0000.0000.0000.0000.1320.0000.0310.0800.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Epilepsia0.1820.0000.0000.0000.1980.0000.0000.0000.0000.2170.0000.0000.0000.0570.0000.1710.0000.0000.3890.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0350.0280.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.0951.0000.0270.0000.0000.0000.0000.0000.0000.0000.0670.0000.0000.0000.0000.0000.0000.0210.0000.0000.1050.0000.0000.0000.0710.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0530.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0380.0000.0000.0000.000
Epilepsia af0.0000.0000.0990.0000.0000.0000.0000.2020.0000.0000.4650.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0950.0000.0000.0000.0000.0000.0000.0000.0000.0000.1080.0000.0000.0310.0000.0000.0000.0000.0000.0710.0000.0000.0000.0000.0000.0510.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0271.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0500.0550.0110.0000.0000.0000.0000.1520.0000.0000.0000.0000.1090.0000.0000.0000.0000.0000.0000.0000.0540.0000.0000.0000.0000.0000.0000.0000.0730.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Trastorno del neurodesarrollo0.5710.6500.1220.0000.0000.0000.0000.1070.1890.0001.0000.0000.1030.2520.0000.6540.2840.0000.0000.0000.0400.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0550.0890.0000.0000.0750.0750.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0790.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
TEC0.2440.0700.0000.0340.0000.0000.0000.0000.0000.1040.0000.0000.0000.0000.0590.1750.0000.0000.3100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0580.0200.0000.0520.0000.0000.0000.0000.0190.0000.0940.0880.0000.0000.0000.0000.0000.0000.0000.0000.0000.0350.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.0000.0000.0000.0000.0000.0000.000
Covid0.0000.0000.0900.0320.1450.0810.0000.0000.0000.0000.0000.0000.0970.0590.0000.0350.0000.0000.1530.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.0650.0900.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0420.0000.0000.0500.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0850.0000.0000.0000.0000.0720.0000.0000.0000.0000.0000.0270.0000.0310.0000.0000.0000.0580.0000.0000.0000.0790.0000.0000.0000.0410.0000.0000.0120.0000.0000.0850.0000.0000.0000.0000.0000.0730.0000.0000.0520.0000.0000.0000.1600.0000.085
Caídas0.1430.0000.2040.0890.1670.1110.0000.0990.1930.0770.0000.0000.0000.1020.0000.1520.0000.0000.0000.0000.0000.0000.0000.0000.0000.0990.0000.0000.0000.0000.0000.0360.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0640.0000.0000.0000.0000.0000.0000.0000.0000.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0240.0000.0000.0000.0000.0410.0000.0000.0000.0490.0930.0000.0000.1070.0000.0500.0990.0830.0000.0610.0000.0380.0570.0420.0000.0000.0000.0000.0810.0000.0000.0180.0000.0000.0000.0280.0000.0420.0000.0000.0280.0000.000
Tabaquismo activo0.0000.0000.0000.0000.0000.0750.3310.0000.0000.2290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0530.0000.0000.0000.1520.0000.0000.0000.0000.0000.0000.0000.0000.0640.0000.0000.0000.0000.0000.0000.0000.0000.0220.0000.0000.0300.0000.0000.0000.0000.0000.0000.0000.1260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0750.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0660.0610.0000.0000.0000.0530.0000.0000.0000.0000.0000.1200.0000.0000.0240.0000.0000.0000.0000.0870.000
Extabaquismo0.0000.0810.1200.0790.0450.0000.9530.0000.0000.0690.0000.0000.0000.0000.1830.0940.0730.0000.0450.0000.0410.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0240.0290.0000.0000.0000.0730.0000.0000.0000.0000.1400.0000.0610.1240.0000.0000.0000.0000.0310.0000.0000.0320.0000.0630.0720.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0850.0000.0751.0000.1040.0830.0000.0370.0000.0000.0000.0000.0000.0380.0900.0840.1340.0000.0000.0000.1380.0000.0280.0000.0000.0000.0000.0000.0000.0000.0000.0000.0340.0000.0000.0000.0510.0000.0620.0000.0000.0000.0450.0000.1090.0000.0000.0000.0000.000
Alcoholismo o abuso de licor0.0370.0000.0000.0000.0000.0300.3800.1080.0000.0000.0000.0000.0000.2190.1420.0420.1550.0000.0000.1530.0000.0000.0000.0000.0000.0000.0000.0360.0000.0560.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0940.0000.0730.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0520.0000.0000.0600.0000.0000.0000.0000.0000.0000.0000.1041.0000.0000.1100.0000.0290.0000.0000.0000.0000.0000.0000.2370.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0570.0480.1520.0350.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0360.0000.0000.0000.0000.0170.000
Consume alcohol de forma activa0.0000.0730.0000.0000.0000.1060.0900.0000.1420.0000.0660.0340.0820.0000.0000.0000.0000.0000.1320.0000.0000.0000.0000.0000.0000.0790.0000.0000.0000.0000.0000.0140.0000.0450.0000.0490.0270.0000.0320.0000.0000.1270.0000.0000.0740.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0140.0660.0000.0490.0000.0000.0000.0670.0000.0000.0000.0000.0000.0000.0830.0001.0000.0000.0000.0400.0810.0450.0000.0000.0000.0000.0680.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1710.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0430.0000.0000.0000.0300.0000.0000.0000.0000.159
PSA0.1710.3150.0000.0000.0000.0740.2210.0811.0000.0001.0000.0000.0000.3110.0000.0000.1780.0000.0000.0590.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1100.0001.0000.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.0000.0000.0000.0000.0000.0000.0820.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Cirugias ortopedicas0.0820.0000.0000.0000.0840.0000.0000.0000.0000.1300.1100.1020.0000.1210.0000.0000.0000.0000.1900.0000.0090.0710.0000.0430.0000.0000.0000.1070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0380.0590.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0370.0000.0000.0001.0000.0000.0000.0000.0240.0000.0000.0000.0000.0000.0000.0000.0000.1300.0000.0000.0000.0780.0000.0000.0000.0900.0770.0730.0000.0000.0390.0000.1730.0770.0000.0000.0600.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Alteracion en orientacion tiempo0.1690.0330.0000.0000.0760.0000.0000.0690.5690.0000.0880.1100.1280.0630.0000.1390.0000.0000.0690.0000.0600.0380.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1610.2030.0000.0000.0470.0000.0910.0000.1120.0000.0000.0000.0000.0000.0520.0000.0530.0000.1200.0450.0930.0000.0000.1050.1260.0670.0000.0000.0000.0000.0500.0000.0000.0720.0000.0000.0000.0290.0401.0000.0001.0000.6390.3860.4010.4210.3010.4140.0450.0000.0000.0000.0310.1140.0000.1390.2090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2070.0000.0310.1720.0000.0000.0000.0200.0000.1630.0000.0000.1210.495
Alteracion en orientacion espacio0.1420.0000.0000.0750.0720.0000.0000.2380.6220.0000.0000.0000.1050.1260.0170.0780.0000.0000.0000.0000.0740.0380.0000.0000.0000.0000.0000.0000.0000.0000.0000.1220.0000.0000.0490.1730.1680.0000.0000.0000.0000.0420.0000.0510.0000.0380.0000.0000.0000.0000.0000.0570.0000.1630.0000.0750.0000.0000.0390.0000.0000.0000.0000.0000.0000.0550.0550.0000.0000.0000.0000.0000.0000.0811.0000.0000.6391.0000.5760.4030.3910.4750.5250.1350.0000.0030.0000.0000.1330.0000.1770.1960.0590.0000.0730.0700.0000.0000.0690.0850.0250.0000.0000.0000.0280.0000.0770.1760.0000.0270.0770.0720.1350.1680.0000.0000.1180.492
Alteracion en memoria0.1470.1940.0620.1160.0830.0760.0000.3850.7360.0690.1280.0000.0000.0820.0000.1160.0000.1510.0000.0000.0270.0580.0000.0000.0470.0000.0000.0000.0340.0250.0000.0560.0000.0000.0240.0800.0730.0470.0000.0000.0000.0000.0740.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.1420.0000.0510.0000.0000.0000.0000.0400.0000.0000.0470.0000.0110.0890.0220.0000.0000.0000.0000.0000.0451.0000.0000.3860.5761.0000.4480.2860.6980.7500.1260.0000.1200.0000.0000.2330.0000.2440.2500.1640.0000.0000.1130.0320.0550.0770.0000.0000.0000.0000.0000.0560.0230.0930.2340.0000.0000.0930.1140.1430.1930.0000.0220.0510.447
Alteracion en atencion y calculo0.1560.1050.0000.0790.0190.0000.1630.2240.5810.0000.1390.0000.0580.0980.0710.2050.0890.0000.0000.0500.0000.0000.0360.0370.0000.0000.0000.0000.0000.0000.0140.0740.0000.0800.0000.1920.1680.0000.0000.0000.0000.0890.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1770.0000.1110.0000.0000.0000.0000.0000.0000.0570.0000.0000.0000.0000.0580.0000.0000.0000.0000.0000.0001.0000.0240.4010.4030.4481.0000.4990.3970.4520.1150.0670.0000.0000.0000.1740.0000.1470.2450.0280.0000.0680.0000.1460.1710.1740.0000.0000.0000.0000.0000.0530.0220.0420.1350.0000.0290.0000.0000.0000.0930.0000.0000.1000.368
Alteracion en evocacion0.1470.0500.0460.0000.0860.0000.1750.0000.4420.0000.0000.0000.1290.0670.0220.1240.1310.0520.0870.0000.0000.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0350.0000.0000.0000.1000.0780.0000.0000.0000.0000.1000.0290.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0770.1060.0710.0000.0200.0270.0450.0000.0000.0000.0000.0210.0000.0000.0200.0000.0410.0000.0000.0000.0001.0000.0000.4210.3910.2860.4991.0000.3110.3670.0000.0000.0000.0450.0430.0000.0510.1580.2260.0000.0000.0530.0000.0810.0270.0230.0850.0350.0000.0000.0200.1160.0000.0000.0970.0000.0000.0000.0260.0000.0950.0000.0000.0610.281
Alteracion en lenguaje0.1510.1760.0530.0780.0570.1120.0880.4230.7230.0850.1140.0000.0270.1370.0570.0880.0770.1330.0000.0000.0000.0420.0000.0000.0330.0460.0000.0110.0000.0000.0000.0480.0000.0000.0000.1380.1290.0330.0000.0000.0000.0000.1250.0330.0340.0000.0000.0000.0000.0000.0000.0540.0000.1190.0000.0610.0000.0000.0390.0000.0000.0140.0000.0000.0000.0000.0750.0000.0000.0000.0000.0380.0000.0001.0000.0000.3010.4750.6980.3970.3111.0000.6550.1400.0000.1280.0000.0960.1070.0000.2430.2200.1420.0000.1150.0950.0700.0870.1060.0170.0000.0000.0000.0710.0000.0000.0150.2030.0000.0000.0700.0780.1400.1830.0000.1170.0600.428
Alteracion en habilidades visuoespaciales0.1120.2570.1150.0900.0940.0000.0940.3610.6740.0000.1420.0000.1410.0880.0000.0860.0000.1100.0000.0440.0500.0000.0000.0000.0320.0370.0050.0250.0000.0000.0000.0000.0000.0000.0000.1430.0610.0320.0000.0000.0670.0290.0000.0000.0000.0000.0000.0000.0000.0480.0000.0000.0000.1370.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0750.0520.0270.0000.0000.0900.0000.0001.0000.0000.4140.5250.7500.4520.3670.6551.0000.1070.0290.0820.0000.0200.1530.0000.2520.2820.1790.0000.0000.0950.0740.1010.1450.1020.0000.0000.0300.0000.0000.0000.1090.2350.0000.0000.0700.0770.0850.1650.0000.0790.0000.440
Grupo sanguineo0.0000.0000.0000.0000.0000.0000.1440.0000.0000.0580.0760.0890.0000.0290.0000.0780.0420.0910.3830.1380.0000.1390.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.1320.1940.2230.0000.0000.2510.0000.1520.0000.1130.0670.0210.0000.0000.0000.0000.0000.0660.0000.0000.0000.0950.0000.0000.0000.0000.0280.0260.0000.0000.1050.1520.0000.0000.0000.0000.3090.0840.2370.0680.0000.0000.0450.1350.1260.1150.0000.1400.1071.0000.0000.0000.0000.0000.0000.0000.0000.0730.0470.0000.0000.0000.0000.0450.0570.0000.0000.0000.0000.0280.0480.0000.0000.0000.0000.0610.0000.0390.0000.0900.0000.0000.0000.100
Tos0.0900.0330.1620.2100.1320.0750.0770.2190.0540.2070.1780.0000.0000.0000.1220.0000.0000.0420.0000.1240.0000.0000.0000.0570.0000.0000.0000.0000.0630.0000.0000.0000.0000.0000.0150.1870.1530.0000.0000.0000.0000.1080.0000.0000.1440.0000.0000.0000.0000.0000.0000.0000.0000.0000.1150.0480.0000.0000.0370.0000.0000.0450.0000.0000.0000.0000.0000.0000.0310.0490.0000.1340.0000.0000.0000.0000.0000.0000.0000.0670.0000.0000.0290.0001.0000.1140.0000.0000.0000.0000.0260.1230.0000.0000.0000.0000.0000.0270.0290.0000.0000.0000.0000.0000.0000.0000.0000.1020.0270.0000.0000.0000.0720.0000.0000.1070.0000.190
Reflejo pupilar0.0610.0000.1120.1360.0300.0340.0000.1690.1490.0000.0000.0000.1300.0000.0000.1100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1530.0410.0000.0000.0000.0000.0000.0000.0000.0480.0000.0000.0000.0000.0000.0000.0890.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0860.0000.0000.0000.0000.0520.0000.0000.0000.0000.0000.0000.0000.0000.0000.0930.0000.0000.0000.0000.0000.0000.0000.0030.1200.0000.0000.1280.0820.0000.1141.0000.1210.0750.1430.0000.1100.0000.0990.1230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0800.0000.0000.0000.0000.0000.0000.0380.0000.0000.000
Movimiento ocular0.3010.0000.0330.0000.0000.1600.0000.0000.0000.2980.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.0000.0000.0000.1211.0000.1930.3680.1640.0000.0000.0000.0000.0000.0000.0900.0000.0000.0750.1200.0000.0670.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Rostro simetrico0.3180.2070.0000.0000.0000.1250.0000.1380.0000.0000.0000.0630.0000.0000.0000.1310.0760.0000.0250.1750.0000.0400.0000.0000.0000.0000.0510.0000.0000.0000.0070.0000.0000.0000.0000.0000.0610.0000.0000.0000.0000.0360.0000.0000.0000.0880.0000.0000.0000.0000.0000.0000.0000.0360.0000.0000.0460.0000.0000.0000.1050.1060.0000.0000.0710.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0310.0000.0000.0000.0430.0960.0200.0000.0000.0750.1931.0000.3330.3390.0000.0350.0000.0190.0880.0000.2320.1430.1580.1340.1760.3230.2360.0000.1050.0000.0000.0560.0000.0000.0000.0000.0000.0480.0210.0730.0000.074
Fuerza0.0930.0840.1290.0000.0000.1060.0000.2880.1510.0000.0000.1460.0700.0000.1300.1030.0850.1750.1190.1520.0760.0290.0000.0000.0000.0000.0000.0000.0340.1070.1050.0800.0000.0000.0420.0000.0620.0000.0500.0000.0000.0550.0000.0000.0390.0000.2390.1530.0000.0270.0000.0000.0820.0750.1230.0000.2350.0070.0080.0000.0690.1310.0000.1320.0000.1090.0000.0000.0580.1070.0000.1380.0000.0000.0000.1300.1140.1330.2330.1740.0000.1070.1530.0000.0000.1430.3680.3331.0000.3320.1530.1370.0000.1780.0350.0000.2710.1850.1820.2230.2840.2990.1870.1800.0000.0000.1200.0000.0000.0000.0000.0000.0000.0590.0740.1590.0000.083
Moviliza 4 extremidades0.3340.1950.0000.0000.0000.0820.1020.2500.0000.0370.0000.0730.0000.0000.0000.0000.0990.0000.1860.1020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0800.1480.0000.0000.0000.0000.0000.0940.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0510.0000.0000.0000.0000.0000.1640.3390.3321.0000.0000.0000.0000.0740.0000.0000.6180.4040.3960.0900.1200.2400.2660.0000.1180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.087
Glabelar0.1240.0790.0660.1800.0000.0740.0410.1860.2300.0000.0850.0000.1470.0000.1120.1600.1270.0790.0000.0610.0000.0000.0340.0000.0310.0000.0000.0000.0620.0000.0000.0000.0000.0000.0000.0620.0000.0310.0910.0000.0650.0590.0000.0000.0530.0000.0000.0000.0000.0000.0000.0000.0000.0840.0000.0000.0310.0000.0000.0000.0000.0000.0000.0310.0000.0000.0000.0880.0000.0500.0000.0280.0000.0000.0000.0000.1390.1770.2440.1470.1580.2430.2520.0000.0260.1100.0000.0000.1530.0001.0000.3700.1800.0000.0000.0310.0320.0390.0000.0550.0000.0500.0320.0000.0000.0000.0000.0880.0160.0000.0480.0000.1370.0000.0000.1170.0000.255
Ociqueo0.0560.1030.0570.0830.0700.0000.0790.2050.3290.0000.1680.0000.1670.0410.1800.1540.1820.0680.0930.0000.0000.0000.0320.0000.0000.0570.0000.0000.0000.0750.0380.0000.0000.0000.0000.1530.1240.0000.0000.0000.0620.0000.0000.0000.0560.0110.0210.0000.0000.0000.0000.0000.0000.0860.0640.0000.0800.0000.0150.0000.0000.0000.0000.0800.0000.0000.0000.0000.0000.0990.0000.0000.0000.0000.0000.0000.2090.1960.2500.2450.2260.2200.2820.0730.1230.0000.0000.0350.1370.0000.3701.0000.0870.0000.0000.0000.1430.1390.0860.0660.0000.0000.0000.0000.0000.0000.0000.0620.0000.0000.0940.0000.1410.0420.0000.0740.0720.288
Marinesco0.1070.0000.0000.0890.0000.0880.0000.0000.1580.1730.3020.0770.1180.0000.1560.1550.0000.0480.0000.0000.0000.0000.0000.0000.0000.0000.0000.0540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1210.0420.0000.0000.0310.0000.0000.0000.0000.0400.0000.0000.0000.0230.0000.0000.1000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0790.0830.0000.0000.0000.0000.0330.0780.0000.0590.1640.0280.0000.1420.1790.0470.0000.0990.0000.0000.0000.0000.1800.0871.0000.0000.0000.0000.0000.0460.0310.0950.0510.0000.0000.0000.0680.0000.0000.0450.0000.0000.0000.0000.0000.0680.0000.0000.0000.171
Babinski0.2210.1550.0000.0000.0000.0220.1090.1860.0000.0000.0000.1240.0000.0000.0000.0000.0800.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0640.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1230.0000.0190.1780.0740.0000.0000.0001.0000.0000.0000.1980.0590.0550.0000.0000.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.067
Romberg0.0000.0000.2070.1870.0000.2410.0000.2100.0430.0360.0000.0000.1200.1750.0000.0000.0000.0000.0000.0000.0000.1150.0000.0460.0000.1000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.0000.0000.1040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1000.0000.0000.0000.0000.0000.0000.0000.0000.0610.0000.0000.0000.0000.0000.0000.0000.0730.0000.0680.0530.1150.0000.0000.0000.0000.0000.0880.0350.0000.0000.0000.0000.0001.0000.0000.0000.0690.1680.1170.1620.0000.0000.1020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Prension palmar0.0400.0000.0000.0000.0000.0000.0000.4660.3420.0000.0000.0300.2810.0470.0000.0000.0000.0000.2850.0000.0000.0000.0000.0000.1270.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0920.0000.1270.0000.0000.0580.0000.0000.0650.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0700.1130.0000.0000.0950.0950.0000.0000.0000.0000.0000.0000.0000.0310.0000.0000.0000.0001.0000.1590.0900.0850.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0860.1590.0330.1130.0000.183
Bipedestacion0.2900.1470.0440.0000.0000.0820.0000.4010.1320.0000.0000.0000.1800.0000.0540.0000.0000.1540.2750.1440.0000.0000.0000.0000.0000.1410.0000.0000.0700.0650.0550.0800.0000.0680.0300.0000.0000.0000.0000.0810.0000.0370.0770.0000.0630.0000.0090.0000.0000.0560.0000.1000.1130.0000.0000.0770.1440.0000.0000.0000.0650.0930.0000.0000.0000.0540.0000.0000.0410.0380.0000.0000.0000.1710.0000.0900.0000.0000.0320.1460.0810.0700.0740.0000.0000.0000.0900.2320.2710.6180.0320.1430.0000.1980.0000.1591.0000.6220.5940.1180.1580.2780.2560.0760.1380.0000.0000.0000.0370.0620.0000.0000.0000.0280.0000.1050.0000.032
Apoyo en talones0.1120.0700.1260.0640.1410.1050.0750.3110.0000.0990.0830.0000.0150.1940.0000.0900.0000.0990.2900.1290.0000.0770.0000.0000.0370.1640.0000.0930.0000.1160.1200.0350.0940.0730.0660.0000.0000.0000.0000.0160.0000.0000.0460.0000.0270.0000.0000.1460.0000.0840.0000.0580.1010.0660.0710.0000.1330.0000.0000.0000.0000.1020.0000.0000.0000.0000.0000.0000.0000.0570.0660.0000.0570.0320.0000.0770.0000.0000.0550.1710.0270.0870.1010.0450.0270.0000.0000.1430.1850.4040.0390.1390.0460.0590.0690.0900.6221.0000.9300.0000.0000.3750.4850.0630.1520.0000.0000.0550.0000.0000.0930.1160.0930.0410.0730.0000.0360.074
Apoyo en puntas0.1180.0550.0840.0500.1600.1310.0000.3150.0000.0920.0610.0000.0000.1590.0000.0720.0000.0710.2640.1210.0000.0480.0000.0000.0310.1480.0000.1280.0310.0780.0850.0000.0910.0680.0170.0000.0000.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.1390.0000.0710.0150.0750.0930.0770.1000.0000.0310.0000.0000.0000.0000.0930.0000.0000.0000.0000.0000.0000.0000.0420.0610.0000.0480.0000.0000.0730.0000.0690.0770.1740.0230.1060.1450.0570.0290.0000.0000.1580.1820.3960.0000.0860.0310.0550.1680.0850.5940.9301.0000.0000.0000.4210.4740.0520.1400.0000.0000.0000.0000.0000.0880.1110.0880.0470.0790.0450.0200.054
Diadococinesia0.2240.0770.0000.0000.0000.0700.0000.1930.0770.0000.0000.0000.2850.1830.1310.1860.0000.0000.1660.0000.0000.0000.0000.0000.0000.0000.0000.0270.0750.0000.0000.0000.0000.0000.0000.0400.0000.0000.1070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0420.0190.0000.1150.0000.0000.0000.0000.2130.0210.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.1520.0000.0820.0000.0000.0850.0000.0000.0850.0170.1020.0000.0000.0000.0750.1340.2230.0900.0550.0660.0950.0000.1170.0000.1180.0000.0001.0000.4220.1420.0150.0000.1160.0000.0000.0250.0000.0000.0000.0000.0000.0000.0000.1700.0000.132
Metria0.3400.0620.0000.0000.0000.0000.0000.0000.0930.0000.0470.1250.1630.2210.0630.1970.2640.0000.4040.0000.0000.0000.0000.0000.0000.0000.0000.0530.0000.0440.0450.0700.0000.0000.0340.0000.0000.0540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0480.0000.0000.0000.0000.0000.0000.0350.0000.0000.0000.0340.0350.0000.0000.0000.0000.0250.0000.0000.0350.0000.0000.0000.0000.0000.1200.1760.2840.1200.0000.0000.0510.0000.1620.0000.1580.0000.0000.4221.0000.1850.0650.0000.0000.0000.0000.0000.0000.0000.0520.0200.0000.0400.0000.0000.0000.000
Pinza0.4340.2220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1270.0000.2150.0590.0000.2360.0000.0000.0000.0000.0000.0000.0000.0000.1080.0440.0000.0000.0000.0590.0000.0000.0000.0000.0000.0000.0000.0000.0540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0910.0000.0000.0000.0000.0000.0000.0000.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0390.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3230.2990.2400.0500.0000.0000.0320.0000.0000.2780.3750.4210.1420.1851.0000.7120.0000.0530.0000.0000.0000.0320.0000.0000.0000.0000.0340.0000.0710.0000.005
Oposicion de pulgar0.3250.1240.0000.0000.0000.0000.0000.0000.0000.0970.0000.1140.0000.0690.0810.1880.0810.0000.3480.0000.0000.0000.0000.0000.0000.0000.0000.1320.0410.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0780.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0530.0000.0000.0000.0850.0000.0530.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0300.0000.0000.0000.0670.2360.1870.2660.0320.0000.0000.0000.0000.0000.2560.4850.4740.0150.0650.7121.0000.0000.0630.0000.0000.0000.0000.0000.0000.0290.0000.0230.0530.0540.0000.000
Edema en los pies0.0470.0000.0000.0000.0000.1490.0610.1910.0680.2010.0000.0000.0000.0980.0000.1270.0000.0000.0000.0000.0000.1790.0000.0000.0000.0590.0000.0680.0000.0000.0000.0000.0000.0000.0000.0250.0560.0000.0000.0000.0000.0000.0000.0000.0000.0350.0000.0350.0000.0000.0000.0000.0000.0000.0000.0310.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0810.0000.0000.0000.0000.0000.1730.0000.0000.0000.0000.0200.0710.0000.0280.0000.0000.0000.0000.1800.0000.0000.0000.0000.0000.1020.0000.0760.0630.0520.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0300.0700.0260.0000.086
Quejas cognitivas0.1100.1600.0000.0000.0910.1520.0000.0700.0000.1020.0000.0000.0000.1280.1260.0790.1320.0000.0950.0000.0000.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0310.0000.1210.0000.0000.1170.0730.1120.0000.1240.0670.0000.0000.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0730.0790.0000.0000.0000.0000.0510.0000.0000.0000.0770.2070.0280.0560.0530.1160.0000.0000.0480.0000.0000.0000.1050.0000.1180.0000.0000.0680.0000.0000.0000.1380.1520.1400.1160.0000.0530.0630.0001.0000.0000.0000.1860.1130.0000.0000.0290.0000.1360.0000.0480.0000.233
Delirios0.1060.1360.0000.0000.0000.1200.0000.2000.0000.0680.4640.0000.1110.0000.0430.1580.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0590.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0820.0000.0000.0000.0300.0000.0000.0000.0000.0000.0000.0420.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0450.0000.0000.0000.0000.0000.1740.0000.0000.1830.000
Alucinaciones0.0000.0250.0000.0000.0000.0000.0000.2030.1440.1050.3050.1480.2670.0000.0560.0520.0000.0000.0000.0760.0000.0000.0000.0000.0000.0000.0000.0600.0000.0640.0000.0000.0000.0000.0000.1380.0000.0810.0000.0000.3210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0180.0000.0620.0000.0000.0000.0000.0310.0770.0930.0420.0000.0150.1090.0000.0000.0000.0000.0000.1200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0650.0000.0000.0000.0000.0000.0000.2200.0000.0000.188
Agitación/Agresividad0.0000.0000.0540.1440.0000.1460.0000.1560.2420.0000.1760.0000.0520.0000.0000.0000.0000.0830.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1020.1030.0000.0810.0000.0000.1040.0380.0310.0000.0000.0000.0080.0000.0000.0000.0000.0000.1090.0000.0580.0000.0000.0000.0000.0000.0620.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0600.1720.1760.2340.1350.0970.2030.2350.0000.1020.0800.0000.0560.0000.0000.0880.0620.0450.0000.0000.0000.0000.0550.0000.0250.0000.0000.0000.0000.1860.0450.0651.0000.0390.0240.0000.0930.1510.3820.0430.0320.0940.322
Depresión/Disforia0.0000.0950.0890.0780.0000.0000.0000.0000.2230.0000.0000.0660.0000.0000.1390.0990.0000.0000.2620.0000.0000.0000.0000.0000.0000.0000.0390.0000.0000.1740.1850.0000.0000.0000.1050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0730.0000.1200.0000.0000.0430.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0320.0000.0000.1130.0000.0000.0391.0000.2080.0000.1410.0000.1130.0000.0000.0650.000
Sintomas de ansiedad0.0710.0920.1240.0000.0000.0000.0000.0000.2300.0000.0000.0820.0000.0000.0860.0000.0000.0000.0000.0000.0000.0080.1030.0000.0000.0000.0000.0000.0000.0000.0000.0530.0000.0000.0000.0280.0860.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0620.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.0290.0000.0000.0000.0610.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0620.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.2081.0000.0000.0000.0000.1140.0000.0000.0180.119
Euforia/Júbilo0.0240.1350.0000.2850.0000.0000.1860.1240.2570.0540.1520.0000.1280.0000.0000.0000.2680.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0750.0000.0000.0000.0000.0410.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0400.0000.0000.0000.0000.0000.0470.0000.0000.0000.0000.0000.0000.0000.0280.0000.0450.0000.0000.0000.0000.0000.0770.0930.0000.0000.0700.0700.0000.0000.0000.0000.0000.0000.0000.0480.0940.0000.0000.0000.0000.0000.0930.0880.0000.0520.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.6150.0630.0000.0000.2100.204
Apatía/Indiferencia0.0000.0000.0670.0000.0000.0810.0000.1730.1840.0000.1930.0000.1250.1740.0000.0000.0000.0000.0000.0910.0000.0240.0000.0000.0000.0000.0640.0000.0680.0750.0000.0000.0000.0460.0000.0840.0800.0000.0590.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0520.0000.0240.0000.0360.0000.0000.0000.0200.0720.1140.0000.0260.0780.0770.0390.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1160.1110.0000.0200.0000.0290.0000.0290.0000.0000.0930.1410.0000.0001.0000.0000.0750.0000.0890.0840.131
Desinhibición0.1270.1960.0000.1690.0000.0000.1760.2000.2950.0000.2660.0000.0000.0000.0000.2080.1950.0290.0000.0000.0000.0000.0000.0000.2040.0000.0000.0000.0000.0400.0000.0000.0000.0000.0000.0230.0230.0260.0000.0000.0000.0000.0000.0570.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0050.0000.0000.0710.0000.0000.0000.0000.0000.0000.0000.0420.0000.1090.0000.0300.0000.0000.0000.1350.1430.0000.0000.1400.0850.0000.0720.0000.0000.0000.0000.0000.1370.1410.0000.0000.0000.0860.0000.0930.0880.0000.0000.0000.0000.0000.0000.0000.0000.1510.0000.0000.6150.0001.0000.0550.0000.0080.1780.217
Irritabilidad/Labilidad emocional0.0000.0000.1240.1710.0000.0560.0000.0000.3360.0240.1470.0000.1890.0000.0000.0000.0000.0350.1380.0000.0170.0630.0000.0000.0000.0690.0000.0000.0000.0440.0350.0000.0000.0000.0000.1440.1210.0000.0890.0000.0000.0000.0520.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1130.0000.0000.0000.0000.0550.0000.0000.0000.0000.0000.0380.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1630.1680.1930.0930.0950.1830.1650.0900.0000.0000.0000.0480.0590.0000.0000.0420.0680.0000.0000.1590.0280.0410.0470.0000.0400.0340.0230.0300.1360.1740.0000.3820.1130.1140.0630.0750.0551.0000.1200.0000.1060.274
Sueño/Trastornos del sueño0.0000.0000.1790.1050.0840.0130.0140.2000.1420.0000.0700.0820.2220.0380.0200.1220.0000.0000.0760.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0800.0000.0760.0600.0000.0000.0000.0550.0000.0000.0000.0000.0000.0550.0000.0000.0000.0220.0000.0000.0000.0680.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0380.0000.0210.0740.0000.0000.0000.0000.0000.0000.0330.0000.0730.0790.0000.0000.0000.0530.0700.0000.0000.2200.0430.0000.0000.0000.0000.0000.1201.0000.0880.0000.118
Apetito/Trastornos de conducta alimentaria0.0000.0000.0140.0000.0000.0690.0000.3450.2290.0000.0000.1280.0970.0000.0860.1060.0550.0620.0000.0190.0000.0000.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1780.0840.0000.0000.1310.0000.0000.0000.0000.0990.0400.0000.0000.0000.0840.0000.0000.0290.0800.0580.0680.0000.0000.0770.0000.0000.0000.0000.0000.0000.0000.0000.0000.1600.0280.0000.0000.0000.0000.0000.0000.0000.0000.0220.0000.0000.1170.0790.0000.1070.0000.0000.0730.1590.0000.1170.0740.0000.0450.0000.1130.1050.0000.0450.1700.0000.0710.0540.0260.0480.0000.0000.0320.0000.0000.0000.0890.0080.0000.0881.0000.0000.103
Inquietud motora0.0000.0690.0000.2290.0000.0000.0000.1140.2110.0000.3980.0000.0000.0000.0000.0000.2160.0000.3850.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0570.0840.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0680.0000.0000.0000.0000.0000.0000.0250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0870.0000.0170.0000.0000.0000.1210.1180.0510.1000.0610.0600.0000.0000.0000.0000.0000.0000.0000.0000.0000.0720.0000.0000.0000.0000.0000.0360.0200.0000.0000.0000.0000.0000.0000.1830.0000.0940.0650.0180.2100.0840.1780.1060.0000.0001.0000.213
Estado cognitivo0.0640.0410.0000.1190.0460.1700.0000.2220.5700.1610.0690.0000.0910.1110.0000.0000.0290.1720.0000.1020.0000.0120.1300.0000.0000.0640.0000.0000.0000.0360.0870.0160.1020.0000.0000.4300.3990.0870.0350.0540.1640.1870.0980.0900.0880.0000.0000.0000.0000.0000.0170.0630.0000.1100.0000.0000.1020.0000.2060.1140.1170.0000.0520.0000.0000.0000.0000.0000.0850.0000.0000.0000.0000.1590.0000.0000.4950.4920.4470.3680.2810.4280.4400.1000.1900.0000.0000.0740.0830.0870.2550.2880.1710.0670.0000.1830.0320.0740.0540.1320.0000.0050.0000.0860.2330.0000.1880.3220.0000.1190.2040.1310.2170.2740.1180.1030.2131.000

Missing values

2024-10-02T19:59:01.156229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-02T19:59:03.106171image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-10-02T19:59:04.537057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Fecha de evaluacionEdadHombreEscolaridadOcupaciónEstado civilVive soloNúmero de hijosNúmero de nietosNumero de bisnietosLugar de nacimientoCiudad de residenciaCuidador No SolazCuidador SolazNumero de medicamentosHTAHTA afDislipidemiaDislipidemia afDiabetesDiabetes afEnfermedad ocularEnfermedad auditivaTrastornos psiquiatricosDepresionAnsiedadTrastorno afectivo bipolarTrastorno de personalidadOtro trastorno psiquiatrico o alteracion mentalTrastornos psiquiatricos afEnf. neurodegenerativasEnfermedad de AlzheimerDegeneracion lobar frontotemporalDeterioro cognitivo vascularEnfermedad de ParkinsonDemencia por cuerpos de LewyEnfermedad de HuntingtonEnf. neurodegenerativas afFamiliares paternos demenciaFamiliares maternos demenciaHermanos demenciaCáncerCáncer afEnf renalEnf renal afEnf cardiacaArritmiaMarcapasosPaciente anticoaguladoEnf cardiaca afEnf respiratoriaEnf respiratoria afEnf hepáticaEnf hepática afEnf tiroideaEnf tiroidea afEnf cerebro vascularEnf cerebro vascular afEnf transmisión sexualMigrañaEpilepsiaEpilepsia afTrastorno del neurodesarrolloTECCovidCaídasTabaquismo activoExtabaquismoHace cuanto dejo de fumarAlcoholismo o abuso de licorConsume alcohol de forma activaPSACirugias ortopedicasBarthelAlteracion en orientacion tiempoAlteracion en orientacion espacioAlteracion en memoriaAlteracion en atencion y calculoAlteracion en evocacionAlteracion en lenguajeAlteracion en habilidades visuoespacialesMMSESaturacion de O2Frecuencia respiratoriaPresión arterial sistólicaPresión arterial diastólicaFrecuencia cardiacaGrupo sanguineoZurdoTosReflejo pupilarMovimiento ocularRostro simetricoFuerzaMoviliza 4 extremidadesGlabelarOciqueoMarinescoBabinskiRombergPrension palmarBipedestacionApoyo en talonesApoyo en puntasDiadococinesiaMetriaPinzaOposicion de pulgarEdema en los piesQuejas cognitivasDeliriosAlucinacionesAgitación/AgresividadDepresión/DisforiaSintomas de ansiedadEuforia/JúbiloApatía/IndiferenciaDesinhibiciónIrritabilidad/Labilidad emocionalSueño/Trastornos del sueñoApetito/Trastornos de conducta alimentariaInquietud motoraEstado cognitivo
152016-03-08 00:00:0010.0True0.0SolteroFalse0.00.00.0MedellinMedellinFalseFalse0.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalse100.0FalseFalseFalseFalse45.0TrueTrueTrueTrueTrueTrueTrueNaN96.0NaNNaNNaN96.0O+FalseFalseTrueTrueTrue5.0TrueFalseFalseFalseFalseFalseFalseCon ayudaNoNoFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseCognitivamente Sano
162016-03-14 00:00:0046.0False8.0ComercioCasadoFalse3.00.00.0MedellinMedellinFalseFalse0.0FalseFalseFalseFalseFalseTrueFalseFalseTrueFalseTrueFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalse100.0FalseTrueFalseFalseNaNFalseFalseFalseFalseFalseFalseFalse30.0NaNNaNNaNNaNNaNO+FalseFalseTrueTrueTrue5.0TrueFalseFalseFalseFalseFalseFalseNoNoNoFalseFalseTrueTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseCognitivamente Sano
212016-03-28 00:00:0093.0True8.0IndustriaCasadoFalse4.05.01.0ChileMedellinFalseFalse7.0TrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseTrueFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue50.0FalseFalseFalseFalseNaNTrueTrueTrueTrueTrueTrueTrue15.091.0NaN150.080.069.0O+FalseFalseTrueTrueTrue5.0TrueTrueFalseFalseFalseFalseFalseNoNoNoFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseOtra alteracion mental o del SNC
232016-04-05 00:00:0078.0True4.0ComercioSolteroFalse0.00.00.0MedellinMedellinFalseFalse3.0TrueFalseTrueFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse100.0FalseFalseFalseTrueNaNFalseFalseFalseTrueTrueFalseFalse25.0NaNNaNNaNNaNNaNO+FalseFalseTrueTrueTrue5.0TrueFalseFalseFalseFalseFalseFalseNoNoNoFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseOtra alteracion mental o del SNC
242016-04-05 00:00:0082.0False5.0ComercioDivorciadoFalse1.02.00.0MedellinMedellinFalseFalse4.0TrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueTrueFalseTrueFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse100.0FalseFalseFalseTrueNaNFalseFalseFalseFalseTrueFalseFalse27.0NaNNaNNaNNaNNaNO+FalseFalseTrueTrueTrue5.0TrueFalseFalseFalseFalseFalseFalseNoNoNoFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseCognitivamente Sano
362016-05-17 00:00:0070.0False8.0ServiciosCasadoFalse3.00.00.0MedellinOcañaFalseFalseNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse100.0FalseFalseFalseFalseNaNTrueTrueTrueTrueTrueTrueTrue0.0NaNNaN140.070.0NaNO+FalseFalseTrueTrueTrue7.0TrueTrueFalseTrueFalseFalseFalseNoNoNoFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseDemencia
432016-06-14 00:00:0081.0False5.0ComercioCasadoFalse2.01.00.0MedellinMedellinFalseFalse0.0TrueTrueFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue15.0FalseFalseFalseFalseNaNFalseFalseFalseFalseTrueFalseFalse29.0NaNNaNNaNNaNNaNO+FalseFalseTrueTrueTrue5.0TrueFalseFalseFalseFalseFalseFalseNoNoNoFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseCognitivamente Sano
462016-06-08 00:00:0078.0False1.0FalseNaNNaNNaNMedellinMedellinFalseFalse0.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse100.0FalseFalseFalseFalseNaNTrueTrueTrueTrueTrueTrueTrue3.0NaNNaNNaNNaNNaNO+FalseFalseTrueTrueTrue5.0TrueTrueTrueFalseFalseFalseFalseNoNoNoFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseTrueDemencia
472016-07-11 00:00:0071.0False5.0ComercioDivorciadoFalse4.03.00.0SantuarioMedellinFalseFalse7.0TrueFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue30.0FalseFalseFalseFalseNaNFalseFalseFalseTrueTrueTrueFalse23.090.0NaN130.080.060.0O+FalseFalseTrueTrueFalse3.0TrueFalseFalseFalseFalseFalseFalseNoNoNoFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseOtra alteracion mental o del SNC
482016-07-19 00:00:0077.0True9.0ServiciosCasadoFalse3.00.00.0BogotáMedellinFalseFalse0.0FalseFalseFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue20.0FalseFalseFalseFalseNaNTrueTrueFalseFalseTrueTrueFalse24.090.0NaN130.085.080.0O+FalseFalseFalseTrueTrue5.0TrueFalseFalseFalseFalseFalseFalseCon ayudaNoNoFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseOtra alteracion mental o del SNC
Fecha de evaluacionEdadHombreEscolaridadOcupaciónEstado civilVive soloNúmero de hijosNúmero de nietosNumero de bisnietosLugar de nacimientoCiudad de residenciaCuidador No SolazCuidador SolazNumero de medicamentosHTAHTA afDislipidemiaDislipidemia afDiabetesDiabetes afEnfermedad ocularEnfermedad auditivaTrastornos psiquiatricosDepresionAnsiedadTrastorno afectivo bipolarTrastorno de personalidadOtro trastorno psiquiatrico o alteracion mentalTrastornos psiquiatricos afEnf. neurodegenerativasEnfermedad de AlzheimerDegeneracion lobar frontotemporalDeterioro cognitivo vascularEnfermedad de ParkinsonDemencia por cuerpos de LewyEnfermedad de HuntingtonEnf. neurodegenerativas afFamiliares paternos demenciaFamiliares maternos demenciaHermanos demenciaCáncerCáncer afEnf renalEnf renal afEnf cardiacaArritmiaMarcapasosPaciente anticoaguladoEnf cardiaca afEnf respiratoriaEnf respiratoria afEnf hepáticaEnf hepática afEnf tiroideaEnf tiroidea afEnf cerebro vascularEnf cerebro vascular afEnf transmisión sexualMigrañaEpilepsiaEpilepsia afTrastorno del neurodesarrolloTECCovidCaídasTabaquismo activoExtabaquismoHace cuanto dejo de fumarAlcoholismo o abuso de licorConsume alcohol de forma activaPSACirugias ortopedicasBarthelAlteracion en orientacion tiempoAlteracion en orientacion espacioAlteracion en memoriaAlteracion en atencion y calculoAlteracion en evocacionAlteracion en lenguajeAlteracion en habilidades visuoespacialesMMSESaturacion de O2Frecuencia respiratoriaPresión arterial sistólicaPresión arterial diastólicaFrecuencia cardiacaGrupo sanguineoZurdoTosReflejo pupilarMovimiento ocularRostro simetricoFuerzaMoviliza 4 extremidadesGlabelarOciqueoMarinescoBabinskiRombergPrension palmarBipedestacionApoyo en talonesApoyo en puntasDiadococinesiaMetriaPinzaOposicion de pulgarEdema en los piesQuejas cognitivasDeliriosAlucinacionesAgitación/AgresividadDepresión/DisforiaSintomas de ansiedadEuforia/JúbiloApatía/IndiferenciaDesinhibiciónIrritabilidad/Labilidad emocionalSueño/Trastornos del sueñoApetito/Trastornos de conducta alimentariaInquietud motoraEstado cognitivo
4552023-10-18 00:00:0079.0True6.0ServiciosCasadoFalse2.00.00.0MedellinMedellinFalseFalse7.0TrueFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse100.0FalseFalseFalseFalse90.0TrueTrueFalseTrueTrueFalseFalse20.093.016.0140.070.070.0A+FalseFalseTrueTrueTrue5.0TrueTrueTrueFalseFalseFalseFalseNoSiSiFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseOtra alteracion mental o del SNC
4562023-10-30 00:00:0071.0False8.0Pensionado(a)ViudoFalse2.04.00.0MedellinMedellinFalseFalse5.0TrueFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrue15.0FalseFalseFalseFalse70.0TrueFalseFalseTrueTrueFalseFalse25.094.0NaN110.070.080.0A+FalseFalseTrueTrueTrue4.0TrueFalseFalseFalseFalseFalseFalseCon ayudaSiSiFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseCognitivamente Sano
4572023-11-01 00:00:0082.0True5.0ComercioCasadoFalse2.04.00.0MedellinMedellinFalseFalse9.0TrueFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseTrueFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue15.0FalseFalseFalseFalse70.0TrueFalseFalseTrueTrueFalseFalse22.097.018.0130.060.060.0O+FalseFalseTrueTrueTrue4.0TrueTrueTrueFalseFalseFalseFalseCon ayudaSiNoFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseCognitivamente Sano
4582023-11-01 00:00:0082.0False4.0Ama de casaViudoFalse5.013.01.0BarranquillaBarranquillaTrueFalse6.0TrueFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalse100.0FalseFalseFalseFalse90.0FalseFalseFalseTrueTrueFalseFalse27.095.016.0120.070.080.0A+FalseFalseTrueTrueFalse5.0TrueFalseFalseFalseFalseTrueFalseNoSiSiFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseCognitivamente Sano
4592023-11-08 00:00:0081.0False8.0IndustriaCasadoFalse2.02.00.0Santa Rosa de CabalSanta Rosa de CabalFalseFalse7.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse100.0FalseFalseFalseFalse90.0FalseFalseFalseFalseFalseFalseFalse17.094.017.0110.070.080.0O-FalseFalseTrueTrueTrue5.0TrueTrueTrueFalseFalseFalseFalseNoSiSiFalseFalseTrueTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseOtra alteracion mental o del SNC
4602023-11-15 00:00:0077.0True8.0IndustriaCasadoFalse1.01.00.0Santa Rosa de OsosSanta Rosa de OsosTrueFalse3.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueTrueFalseFalseTrueFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueNaNTrueFalseFalseFalse85.0TrueTrueFalseTrueTrueFalseFalse25.097.014.0100.060.055.0B-FalseFalseTrueTrueTrue5.0TrueFalseFalseFalseFalseFalseFalseNoNoNoFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseOtra alteracion mental o del SNC
4622023-11-20 00:00:0078.0True3.0TransporteCasadoFalse3.05.00.0Villa HermosaVilla HermosaFalseFalse4.0FalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue30.0FalseFalseFalseTrue90.0FalseFalseFalseTrueTrueFalseFalse27.093.016.0120.060.080.0O+FalseFalseTrueTrueTrue5.0TrueFalseFalseFalseFalseFalseFalseNoSiSiFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseOtra alteracion mental o del SNC
4632023-11-27 00:00:0091.0False4.0Ama de casaViudoFalse5.010.01.0ValparaisoValparaisoTrueFalse6.0FalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNFalseFalseFalseFalse45.0TrueTrueTrueTrueTrueTrueTrue13.097.0NaN110.070.080.0O-FalseFalseTrueTrueTrue7.0TrueFalseTrueFalseFalseFalseFalseCon ayudaSiSiFalseFalseFalseTrueFalseTrueFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseTrueDemencia
4642023-11-27 00:00:0070.0True4.0ComercioCasadoFalse2.02.00.0MedellinMedellinFalseFalse8.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse100.0FalseFalseFalseFalse40.0FalseTrueTrueTrueTrueTrueTrue0.094.018.0120.070.0115.0O+FalseFalseFalseTrueTrue5.0TrueFalseFalseFalseFalseFalseFalseCon ayudaNoNoFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseCognitivamente Sano
4652023-12-18 00:00:0086.0False5.0Ama de casaViudoTrue6.09.021.0BarranquillaBarranquillaFalseTrue6.0TrueFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseFalseFalse100.0FalseTrueFalseFalse95.0TrueTrueFalseTrueFalseFalseFalse24.096.016.0140.070.070.0O+FalseFalseTrueTrueTrue7.0TrueFalseFalseFalseFalseFalseFalseNoSiSiFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseCognitivamente Sano